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09/07/2023
Text-to-feature diffusion for audio-visual few-shot learning
Training deep learning models for video classification from audio-visual...
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09/06/2023
PDiscoNet: Semantically consistent part discovery for fine-grained recognition
Fine-grained classification often requires recognizing specific object p...
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09/05/2023
Iterative Superquadric Recomposition of 3D Objects from Multiple Views
Humans are good at recomposing novel objects, i.e. they can identify com...
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09/04/2023
DeViL: Decoding Vision features into Language
Post-hoc explanation methods have often been criticised for abstracting ...
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08/21/2023
Image-free Classifier Injection for Zero-Shot Classification
Zero-shot learning models achieve remarkable results on image classifica...
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07/20/2023
Addressing caveats of neural persistence with deep graph persistence
Neural Persistence is a prominent measure for quantifying neural network...
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07/01/2023
ProbVLM: Probabilistic Adapter for Frozen Vison-Language Models
Large-scale vision-language models (VLMs) like CLIP successfully find co...
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06/12/2023
Waffling around for Performance: Visual Classification with Random Words and Broad Concepts
The visual classification performance of vision-language models such as ...
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05/27/2023
USIM-DAL: Uncertainty-aware Statistical Image Modeling-based Dense Active Learning for Super-resolution
Dense regression is a widely used approach in computer vision for tasks ...
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05/24/2023
In-Context Impersonation Reveals Large Language Models' Strengths and Biases
In everyday conversations, humans can take on different roles and adapt ...
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05/22/2023
If at First You Don't Succeed, Try, Try Again: Faithful Diffusion-based Text-to-Image Generation by Selection
Despite their impressive capabilities, diffusion-based text-to-image (T2...
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05/22/2023
Meta-in-context learning in large language models
Large language models have shown tremendous performance in a variety of ...
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04/21/2023
Inducing anxiety in large language models increases exploration and bias
Large language models are transforming research on machine learning whil...
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04/06/2023
Exposing and Mitigating Spurious Correlations for Cross-Modal Retrieval
Cross-modal retrieval methods are the preferred tool to search databases...
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04/04/2023
Bridging the Gap between Model Explanations in Partially Annotated Multi-label Classification
Due to the expensive costs of collecting labels in multi-label classific...
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02/21/2023
Posterior Annealing: Fast Calibrated Uncertainty for Regression
Bayesian deep learning approaches that allow uncertainty estimation for ...
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12/15/2022
Urban Scene Semantic Segmentation with Low-Cost Coarse Annotation
For best performance, today's semantic segmentation methods use large an...
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11/23/2022
Distilling Knowledge from Self-Supervised Teacher by Embedding Graph Alignment
Recent advances have indicated the strengths of self-supervised pre-trai...
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11/06/2022
Momentum-based Weight Interpolation of Strong Zero-Shot Models for Continual Learning
Large pre-trained, zero-shot capable models have shown considerable succ...
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10/25/2022
PlanT: Explainable Planning Transformers via Object-Level Representations
Planning an optimal route in a complex environment requires efficient re...
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10/19/2022
Cross-Modal Fusion Distillation for Fine-Grained Sketch-Based Image Retrieval
Representation learning for sketch-based image retrieval has mostly been...
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10/13/2022
Disentanglement of Correlated Factors via Hausdorff Factorized Support
A grand goal in deep learning research is to learn representations capab...
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10/05/2022
Relational Proxies: Emergent Relationships as Fine-Grained Discriminators
Fine-grained categories that largely share the same set of parts cannot ...
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09/06/2022
Semantic Image Synthesis with Semantically Coupled VQ-Model
Semantic image synthesis enables control over unconditional image genera...
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08/24/2022
Semi-Supervised and Unsupervised Deep Visual Learning: A Survey
State-of-the-art deep learning models are often trained with a large amo...
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07/27/2022
Abstracting Sketches through Simple Primitives
Humans show high-level of abstraction capabilities in games that require...
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07/20/2022
Temporal and cross-modal attention for audio-visual zero-shot learning
Audio-visual generalised zero-shot learning for video classification req...
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07/14/2022
BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural Networks
High-quality calibrated uncertainty estimates are crucial for numerous r...
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07/08/2022
A Non-isotropic Probabilistic Take on Proxy-based Deep Metric Learning
Proxy-based Deep Metric Learning (DML) learns deep representations by em...
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06/15/2022
The Manifold Hypothesis for Gradient-Based Explanations
When do gradient-based explanation algorithms provide meaningful explana...
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06/13/2022
Compositional Mixture Representations for Vision and Text
Learning a common representation space between vision and language allow...
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06/08/2022
Large Loss Matters in Weakly Supervised Multi-Label Classification
Weakly supervised multi-label classification (WSML) task, which is to le...
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05/13/2022
KG-SP: Knowledge Guided Simple Primitives for Open World Compositional Zero-Shot Learning
The goal of open-world compositional zero-shot learning (OW-CZSL) is to ...
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04/27/2022
Attention Consistency on Visual Corruptions for Single-Source Domain Generalization
Generalizing visual recognition models trained on a single distribution ...
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04/12/2022
Probabilistic Compositional Embeddings for Multimodal Image Retrieval
Existing works in image retrieval often consider retrieving images with ...
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04/05/2022
CLEVR-X: A Visual Reasoning Dataset for Natural Language Explanations
Providing explanations in the context of Visual Question Answering (VQA)...
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04/04/2022
Attribute Prototype Network for Any-Shot Learning
Any-shot image classification allows to recognize novel classes with onl...
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03/20/2022
VGSE: Visually-Grounded Semantic Embeddings for Zero-Shot Learning
Human-annotated attributes serve as powerful semantic embeddings in zero...
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03/16/2022
Non-isotropy Regularization for Proxy-based Deep Metric Learning
Deep Metric Learning (DML) aims to learn representation spaces on which ...
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03/16/2022
Integrating Language Guidance into Vision-based Deep Metric Learning
Deep Metric Learning (DML) proposes to learn metric spaces which encode ...
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03/07/2022
Audio-visual Generalised Zero-shot Learning with Cross-modal Attention and Language
Learning to classify video data from classes not included in the trainin...
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01/17/2022
BDA-SketRet: Bi-Level Domain Adaptation for Zero-Shot SBIR
The efficacy of zero-shot sketch-based image retrieval (ZS-SBIR) models ...
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12/17/2021
Audio Retrieval with Natural Language Queries: A Benchmark Study
The objectives of this work are cross-modal text-audio and audio-text re...
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11/02/2021
Human Attention in Fine-grained Classification
The way humans attend to, process and classify a given image has the pot...
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10/24/2021
Robustness via Uncertainty-aware Cycle Consistency
Unpaired image-to-image translation refers to learning inter-image-domai...
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10/18/2021
Conditional De-Identification of 3D Magnetic Resonance Images
Privacy protection of medical image data is challenging. Even if metadat...
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09/29/2021
Fine-Grained Zero-Shot Learning with DNA as Side Information
Fine-grained zero-shot learning task requires some form of side-informat...
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08/19/2021
Concurrent Discrimination and Alignment for Self-Supervised Feature Learning
Existing self-supervised learning methods learn representation by means ...
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06/29/2021
Uncertainty-Guided Progressive GANs for Medical Image Translation
Image-to-image translation plays a vital role in tackling various medica...
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06/15/2021
