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Poster
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Wed 1:00 |
Explainable Deep One-Class Classification Philipp Liznerski · Lukas Ruff · Robert A Vandermeulen · Billy J Franks · Marius Kloft · Klaus R Muller |
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Poster
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Wed 9:00 |
Provably robust classification of adversarial examples with detection Fatemeh Sheikholeslami · Ali Lotfi · Zico Kolter |
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Oral
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Wed 19:55 |
Deformable DETR: Deformable Transformers for End-to-End Object Detection Xizhou Zhu · Weijie Su · Lewei Lu · Bin Li · Xiaogang Wang · Jifeng Dai |
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Poster
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Mon 9:00 |
Conditional Negative Sampling for Contrastive Learning of Visual Representations Mike Wu · Milan Mosse · Chengxu Zhuang · Daniel Yamins · Noah Goodman |
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Poster
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Mon 1:00 |
Improve Object Detection with Feature-based Knowledge Distillation: Towards Accurate and Efficient Detectors Linfeng Zhang · Kaisheng Ma |
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Poster
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Wed 1:00 |
Negative Data Augmentation Abhishek Sinha · Kumar Ayush · Jiaming Song · Burak Uzkent · Hongxia Jin · Stefano Ermon |
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Poster
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Wed 1:00 |
Differentiable Segmentation of Sequences Erik Scharwächter · Jonathan Lennartz · Emmanuel Müller |
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Poster
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Wed 17:00 |
PolarNet: Learning to Optimize Polar Keypoints for Keypoint Based Object Detection wu xiongwei · Doyen Sahoo · Steven HOI |
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Poster
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Mon 17:00 |
Robust Curriculum Learning: from clean label detection to noisy label self-correction Tianyi Zhou · Shengjie Wang · Jeff Bilmes |
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Poster
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Thu 1:00 |
Deformable DETR: Deformable Transformers for End-to-End Object Detection Xizhou Zhu · Weijie Su · Lewei Lu · Bin Li · Xiaogang Wang · Jifeng Dai |
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Workshop
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Detecting Adversarial Attacks through Neural Activations Graham Annett |
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Poster
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Tue 9:00 |
Systematic generalisation with group invariant predictions Faruk Ahmed · Yoshua Bengio · Harm van Seijen · Aaron Courville |