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12/26/2022
Prototype-guided Cross-task Knowledge Distillation for Large-scale Models
Recently, large-scale pre-trained models have shown their advantages in ...
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03/11/2022
Peng Cheng Object Detection Benchmark for Smart City
Object detection is an algorithm that recognizes and locates the objects...
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01/17/2022
Action Keypoint Network for Efficient Video Recognition
Reducing redundancy is crucial for improving the efficiency of video rec...
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12/16/2021
Frequency Spectrum Augmentation Consistency for Domain Adaptive Object Detection
Domain adaptive object detection (DAOD) aims to improve the generalizati...
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12/07/2021
Decision-based Black-box Attack Against Vision Transformers via Patch-wise Adversarial Removal
Vision transformers (ViTs) have demonstrated impressive performance and ...
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08/15/2021
Vector-Decomposed Disentanglement for Domain-Invariant Object Detection
To improve the generalization of detectors, for domain adaptive object d...
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07/21/2021
Black-box Probe for Unsupervised Domain Adaptation without Model Transferring
In recent years, researchers have been paying increasing attention to th...
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04/30/2021
Anomaly Detection with Prototype-Guided Discriminative Latent Embeddings
Recent efforts towards video anomaly detection try to learn a deep autoe...
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04/27/2021
Exploring Uncertainty in Deep Learning for Construction of Prediction Intervals
Deep learning has achieved impressive performance on many tasks in recen...
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03/01/2021
Universal-Prototype Augmentation for Few-Shot Object Detection
Few-shot object detection (FSOD) aims to strengthen the performance of n...
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02/27/2020
Hierarchical Memory Decoding for Video Captioning
Recent advances of video captioning often employ a recurrent neural netw...
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11/20/2019
Instance-Invariant Adaptive Object Detection via Progressive Disentanglement
Most state-of-the-art methods of object detection suffer from poor gener...
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04/02/2019
Curls & Whey: Boosting Black-Box Adversarial Attacks
Image classifiers based on deep neural networks suffer from harassment c...
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04/25/2018