Research

Papers for “coco”

Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.

Title	Authors	Year	Source
Influence Selection for Active Learning	Zhuoming Liu, Hao Ding, Huaping Zhong	2021	arxiv 2108.09331
Understanding and Evaluating Racial Biases in Image Captioning	Dora Zhao, Angelina Wang, Olga Russakovsky	2021	arxiv 2106.08503
Panoptic Narrative Grounding	C. González, N. Ayobi, I. Hernández	2021	arxiv 2109.04988
Mining Latent Classes for Few-shot Segmentation	Lihe Yang, Wei Zhuo, Lei Qi	2021	arxiv 2103.15402
Transformer-based Dual Relation Graph for Multi-label Image Recognition	Jiawei Zhao, Ke Yan, Yifan Zhao	2021	arxiv 2110.04722
Negative Sample is Negative in Its Own Way: Tailoring Negative Sentences for Image-Text Retrieval	Zhihao Fan, Zhongyu Wei, Zejun Li	2021	arxiv 2111.03349
Context-Aware Transfer Attacks for Object Detection	Zikui Cai, Xinxin Xie, Shasha Li	2021	arxiv 2112.03223
Inferring Prototypes for Multi-Label Few-Shot Image Classification with Word Vector Guided Attention	Kun Yan, Chenbin Zhang, Jun Hou	2021	arxiv 2112.01037
Incremental Object Detection via Meta-Learning	K J Joseph, Jathushan Rajasegaran, Salman Khan	2020	arxiv 2003.08798
End-to-End Trainable Multi-Instance Pose Estimation with Transformers	Lucas Stoffl, Maxime Vidal, Alexander Mathis	2021	arxiv 2103.12115
Lite Vision Transformer with Enhanced Self-Attention	Chenglin Yang, Yilin Wang, Jianming Zhang	2021	arxiv 2112.10809
CAGAN: Text-To-Image Generation with Combined Attention GANs	Henning Schulze, Dogucan Yaman, Alexander Waibel	2021	arxiv 2104.12663
From Pixel to Patch: Synthesize Context-aware Features for Zero-shot Semantic Segmentation	Zhangxuan Gu, Siyuan Zhou, Li Niu	2020	arxiv 2009.12232
Task-Adaptive Feature Transformer with Semantic Enrichment for Few-Shot Segmentation	Jun Seo, Young-Hyun Park, Sung Whan Yoon	2022	arxiv 2202.06498
Vision Transformer Hashing for Image Retrieval	Shiv Ram Dubey, Satish Kumar Singh, Wei-Ta Chu	2021	arxiv 2109.12564
ContrastMask: Contrastive Learning to Segment Every Thing	Xuehui Wang, Kai Zhao, Ruixin Zhang	2022	arxiv 2203.09775
Learning Dense Correspondence from Synthetic Environments	Mithun Lal, Anthony Paproki, Nariman Habili	2022	arxiv 2203.12919
Object Localization under Single Coarse Point Supervision	Xuehui Yu, Pengfei Chen, Di Wu	2022	arxiv 2203.09338
Noisy Boundaries: Lemon or Lemonade for Semi-supervised Instance Segmentation?	Zhenyu Wang, Yali Li, Shengjin Wang	2022	arxiv 2203.13427
Overcoming Catastrophic Forgetting in Incremental Object Detection via Elastic Response Distillation	Tao Feng, Mang Wang, Hangjie Yuan	2022	arxiv 2204.02136

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