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12/20/2021
General Greedy De-bias Learning
Neural networks often make predictions relying on the spurious correlati...
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11/23/2021
Modeling Temporal Concept Receptive Field Dynamically for Untrimmed Video Analysis
Event analysis in untrimmed videos has attracted increasing attention du...
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11/23/2021
Self-Regulated Learning for Egocentric Video Activity Anticipation
Future activity anticipation is a challenging problem in egocentric visi...
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07/27/2021
Greedy Gradient Ensemble for Robust Visual Question Answering
Language bias is a critical issue in Visual Question Answering (VQA), wh...
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08/25/2020
Label Decoupling Framework for Salient Object Detection
To get more accurate saliency maps, recent methods mainly focus on aggre...
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05/04/2020
Correlating Edge, Pose with Parsing
According to existing studies, human body edge and pose are two benefici...
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03/30/2020
Gradually Vanishing Bridge for Adversarial Domain Adaptation
In unsupervised domain adaptation, rich domain-specific characteristics ...
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01/02/2019
SIXray : A Large-scale Security Inspection X-ray Benchmark for Prohibited Item Discovery in Overlapping Images
In this paper, we present a large-scale dataset and establish a baseline...
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12/02/2018
Iterative Reorganization with Weak Spatial Constraints: Solving Arbitrary Jigsaw Puzzles for Unsupervised Representation Learning
Learning visual features from unlabeled image data is an important yet c...
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12/01/2018
Snapshot Distillation: Teacher-Student Optimization in One Generation
Optimizing a deep neural network is a fundamental task in computer visio...
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11/29/2018
Progressive Recurrent Learning for Visual Recognition
Computer vision is difficult, partly because the mathematical function c...
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09/25/2017