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12/02/2021
OW-DETR: Open-world Detection Transformer
Open-world object detection (OWOD) is a challenging computer vision prob...
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08/20/2021
Discriminative Region-based Multi-Label Zero-Shot Learning
Multi-label zero-shot learning (ZSL) is a more realistic counter-part of...
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01/27/2021
Generative Multi-Label Zero-Shot Learning
Multi-label zero-shot learning strives to classify images into multiple ...
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10/21/2020
Safety Verification of Model Based Reinforcement Learning Controllers
Model-based reinforcement learning (RL) has emerged as a promising tool ...
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06/12/2020
Safety-guaranteed Reinforcement Learning based on Multi-class Support Vector Machine
Several works have addressed the problem of incorporating constraints in...
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03/17/2020
Latent Embedding Feedback and Discriminative Features for Zero-Shot Classification
Zero-shot learning strives to classify unseen categories for which no da...
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05/30/2019
iSAID: A Large-scale Dataset for Instance Segmentation in Aerial Images
Existing Earth Vision datasets are either suitable for semantic segmenta...
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11/02/2018