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09/10/2023
Chat2Brain: A Method for Mapping Open-Ended Semantic Queries to Brain Activation Maps
Over decades, neuroscience has accumulated a wealth of research results ...
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08/18/2023
Small Object Detection via Coarse-to-fine Proposal Generation and Imitation Learning
The past few years have witnessed the immense success of object detectio...
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04/30/2023
Discriminative Co-Saliency and Background Mining Transformer for Co-Salient Object Detection
Most previous co-salient object detection works mainly focus on extracti...
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02/13/2023
Threatening Patch Attacks on Object Detection in Optical Remote Sensing Images
Advanced Patch Attacks (PAs) on object detection in natural images have ...
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02/03/2023
Revisiting Long-tailed Image Classification: Survey and Benchmarks with New Evaluation Metrics
Recently, long-tailed image classification harvests lots of research att...
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02/02/2023
Boosting Low-Data Instance Segmentation by Unsupervised Pre-training with Saliency Prompt
Recently, inspired by DETR variants, query-based end-to-end instance seg...
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12/26/2022
Fewer is More: Efficient Object Detection in Large Aerial Images
Current mainstream object detection methods for large aerial images usua...
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07/28/2022
Towards Large-Scale Small Object Detection: Survey and Benchmarks
With the rise of deep convolutional neural networks, object detection ha...
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05/20/2022
Structured Attention Composition for Temporal Action Localization
Temporal action localization aims at localizing action instances from un...
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04/21/2022
Beyond the Prototype: Divide-and-conquer Proxies for Few-shot Segmentation
Few-shot segmentation, which aims to segment unseen-class objects given ...
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03/19/2022
Learning Self-Supervised Low-Rank Network for Single-Stage Weakly and Semi-Supervised Semantic Segmentation
Semantic segmentation with limited annotations, such as weakly supervise...
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03/15/2022
Learning What Not to Segment: A New Perspective on Few-Shot Segmentation
Recently few-shot segmentation (FSS) has been extensively developed. Mos...
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03/02/2022
Colar: Effective and Efficient Online Action Detection by Consulting Exemplars
Online action detection has attracted increasing research interests in r...
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01/20/2022
Adaptive neighborhood Metric learning
In this paper, we reveal that metric learning would suffer from serious ...
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01/07/2022
Cross-Modality Deep Feature Learning for Brain Tumor Segmentation
Recent advances in machine learning and prevalence of digital medical im...
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01/01/2022
Robust Region Feature Synthesizer for Zero-Shot Object Detection
Zero-shot object detection aims at incorporating class semantic vectors ...
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12/17/2021
Pixel Distillation: A New Knowledge Distillation Scheme for Low-Resolution Image Recognition
The great success of deep learning is mainly due to the large-scale netw...
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12/17/2021
Weakly Supervised Semantic Segmentation via Alternative Self-Dual Teaching
Current weakly supervised semantic segmentation (WSSS) frameworks usuall...
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11/24/2021
Background-Click Supervision for Temporal Action Localization
Weakly supervised temporal action localization aims at learning the inst...
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10/27/2021
Physically Explainable CNN for SAR Image Classification
Integrating the special electromagnetic characteristics of Synthetic Ape...
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10/05/2021
Anchor-free Oriented Proposal Generator for Object Detection
Oriented object detection is a practical and challenging task in remote ...
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10/02/2021
Light Field Saliency Detection with Dual Local Graph Learning andReciprocative Guidance
The application of light field data in salient object de-tection is beco...
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10/01/2021
Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency Detection
Humans perform co-saliency detection by first summarizing the consensus ...
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08/12/2021
Oriented R-CNN for Object Detection
Current state-of-the-art two-stage detectors generate oriented proposals...
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07/08/2021
Instance-Level Relative Saliency Ranking with Graph Reasoning
Conventional salient object detection models cannot differentiate the im...
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04/25/2021
Visual Saliency Transformer
Recently, massive saliency detection methods have achieved promising res...
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04/06/2021
Weakly Supervised Video Salient Object Detection
Significant performance improvement has been achieved for fully-supervis...
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02/18/2021
Densely Nested Top-Down Flows for Salient Object Detection
With the goal of identifying pixel-wise salient object regions from each...
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10/12/2020
Learning Selective Mutual Attention and Contrast for RGB-D Saliency Detection
How to effectively fuse cross-modal information is the key problem for R...
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08/22/2020
Revisiting Anchor Mechanisms for Temporal Action Localization
Most of the current action localization methods follow an anchor-based p...
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08/18/2020
Equivalent Classification Mapping for Weakly Supervised Temporal Action Localization
Weakly supervised temporal action localization is a newly emerging yet w...
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07/13/2020
Embedded Deep Bilinear Interactive Information and Selective Fusion for Multi-view Learning
As a concrete application of multi-view learning, multi-view classificat...
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05/03/2020
Remote Sensing Image Scene Classification Meets Deep Learning: Challenges, Methods, Benchmarks, and Opportunities
Remote sensing image scene classification, which aims at labeling remote...
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08/31/2019
Object Detection in Optical Remote Sensing Images: A Survey and A New Benchmark
Substantial efforts have been devoted more recently to presenting variou...
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08/19/2019
Robust and Efficient Fuzzy C-Means Clustering Constrained on Flexible Sparsity
Clustering is an effective technique in data mining to group a set of ob...
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12/15/2018
PiCANet: Pixel-wise Contextual Attention Learning for Accurate Saliency Detection
In saliency detection, every pixel needs contextual information to make ...
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03/03/2017
Bridging Saliency Detection to Weakly Supervised Object Detection Based on Self-paced Curriculum Learning
Weakly-supervised object detection (WOD) is a challenging problems in co...
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03/01/2017
Remote Sensing Image Scene Classification: Benchmark and State of the Art
Remote sensing image scene classification plays an important role in a w...
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10/06/2016
A Deep Spatial Contextual Long-term Recurrent Convolutional Network for Saliency Detection
Traditional saliency models usually adopt hand-crafted image features an...
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04/24/2016
A Review of Co-saliency Detection Technique: Fundamentals, Applications, and Challenges
Co-saliency detection is a newly emerging and rapidly growing research a...
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03/20/2016