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08/22/2023
Aspect-oriented Opinion Alignment Network for Aspect-Based Sentiment Classification
Aspect-based sentiment classification is a crucial problem in fine-grain...
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08/22/2023
GrowCLIP: Data-aware Automatic Model Growing for Large-scale Contrastive Language-Image Pre-training
Cross-modal pre-training has shown impressive performance on a wide rang...
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08/09/2023
MixReorg: Cross-Modal Mixed Patch Reorganization is a Good Mask Learner for Open-World Semantic Segmentation
Recently, semantic segmentation models trained with image-level text sup...
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11/21/2022
H-VFI: Hierarchical Frame Interpolation for Videos with Large Motions
Capitalizing on the rapid development of neural networks, recent video f...
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10/16/2022
Learning Self-Regularized Adversarial Views for Self-Supervised Vision Transformers
Automatic data augmentation (AutoAugment) strategies are indispensable i...
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09/28/2022
DeViT: Deformed Vision Transformers in Video Inpainting
This paper proposes a novel video inpainting method. We make three main ...
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07/16/2022
Generalizable Memory-driven Transformer for Multivariate Long Sequence Time-series Forecasting
Multivariate long sequence time-series forecasting (M-LSTF) is a practic...
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05/06/2022
Continual Object Detection via Prototypical Task Correlation Guided Gating Mechanism
Continual learning is a challenging real-world problem for constructing ...
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04/14/2022
Look Back and Forth: Video Super-Resolution with Explicit Temporal Difference Modeling
Temporal modeling is crucial for video super-resolution. Most of the vid...
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04/12/2022
Arch-Graph: Acyclic Architecture Relation Predictor for Task-Transferable Neural Architecture Search
Neural Architecture Search (NAS) aims to find efficient models for multi...
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03/28/2022
Automated Progressive Learning for Efficient Training of Vision Transformers
Recent advances in vision Transformers (ViTs) have come with a voracious...
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03/24/2022
Beyond Fixation: Dynamic Window Visual Transformer
Recently, a surge of interest in visual transformers is to reduce the co...
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10/17/2021
Dynamic Slimmable Denoising Network
Recently, tremendous human-designed and automatically searched neural ne...
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09/21/2021
DS-Net++: Dynamic Weight Slicing for Efficient Inference in CNNs and Transformers
Dynamic networks have shown their promising capability in reducing theor...
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08/22/2021
Pi-NAS: Improving Neural Architecture Search by Reducing Supernet Training Consistency Shift
Recently proposed neural architecture search (NAS) methods co-train bill...
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03/24/2021
Dynamic Slimmable Network
Current dynamic networks and dynamic pruning methods have shown their pr...
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03/23/2021
BossNAS: Exploring Hybrid CNN-transformers with Block-wisely Self-supervised Neural Architecture Search
A myriad of recent breakthroughs in hand-crafted neural architectures fo...
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11/29/2019