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Papers for “coco”

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

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TitleAuthorsYearSource
On Manipulating Scene Text in the Wild with Diffusion ModelsJoshua Santoso, Christian Simon, Williem2023arxiv 2311.00734
Semi-Supervised Weed Detection for Rapid Deployment and Enhanced EfficiencyAlzayat Saleh, Alex Olsen, Jake Wood2024arxiv 2405.07399
Rethinking Prior Information Generation with CLIP for Few-Shot SegmentationJin Wang, Bingfeng Zhang, Jian Pang2024arxiv 2405.08458
Cross-Domain Knowledge Distillation for Low-Resolution Human Pose EstimationZejun Gu, Zhong-Qiu Zhao, Henghui Ding2024arxiv 2405.11448
Learning Robust Correlation with Foundation Model for Weakly-Supervised Few-Shot SegmentationXinyang Huang, Chuang Zhu, Kebin Liu2024arxiv 2405.19638
Memory-guided Network with Uncertainty-based Feature Augmentation for Few-shot Semantic SegmentationXinyue Chen, Miaojing Shi2024arxiv 2406.00545
Teaching with Uncertainty: Unleashing the Potential of Knowledge Distillation in Object DetectionJunfei Yi, Jianxu Mao, Tengfei Liu2024arxiv 2406.06999
OpenInst: A Simple Query-Based Method for Open-World Instance SegmentationCheng Wang, Guoli Wang, Qian Zhang2023arxiv 2303.15859
MuRAL: Multi-Scale Region-based Active Learning for Object DetectionYi-Syuan Liou, Tsung-Han Wu, Jia-Fong Yeh2023arxiv 2303.16637
Mask Hierarchical Features For Self-Supervised LearningFenggang Liu, Yangguang Li, Feng Liang2023arxiv 2304.00218
Perceive, Excavate and Purify: A Novel Object Mining Framework for Instance SegmentationJinming Su, Ruihong Yin, Xingyue Chen2023arxiv 2304.08826
MARS: Model-agnostic Biased Object Removal without Additional Supervision for Weakly-Supervised Semantic SegmentationSanghyun Jo, In-Jae Yu, Kyungsu Kim2023arxiv 2304.09913
Sparsely-gated Mixture-of-Expert Layers for CNN InterpretabilitySvetlana Pavlitska, Christian Hubschneider, Lukas Struppek2022arxiv 2204.10598
Less is More: Removing Text-regions Improves CLIP Training Efficiency and RobustnessLiangliang Cao, Bowen Zhang, Chen Chen2023arxiv 2305.05095
CLIP-Lite: Information Efficient Visual Representation Learning with Language SupervisionAman Shrivastava, Ramprasaath R. Selvaraju, Nikhil Naik2021arxiv 2112.07133
ColMix -- A Simple Data Augmentation Framework to Improve Object Detector Performance and Robustness in Aerial ImagesCuong Ly, Grayson Jorgenson, Dan Rosa de Jesus2023arxiv 2305.13509
HAAV: Hierarchical Aggregation of Augmented Views for Image CaptioningChia-Wen Kuo, Zsolt Kira2023arxiv 2305.16295
Human-imperceptible, Machine-recognizable ImagesFusheng Hao, Fengxiang He, Yikai Wang2023arxiv 2306.03679
SegCLIP: Patch Aggregation with Learnable Centers for Open-Vocabulary Semantic SegmentationHuaishao Luo, Junwei Bao, Youzheng Wu2022arxiv 2211.14813
Patch-Level Contrasting without Patch Correspondence for Accurate and Dense Contrastive Representation LearningShaofeng Zhang, Feng Zhu, Rui Zhao2023arxiv 2306.13337