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Papers for “coco”

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

TitleAuthorsYearSource
Enhancing Weakly Supervised Semantic Segmentation with Multi-modal Foundation Models: An End-to-End ApproachElham Ravanbakhsh, Cheng Niu, Yongqing Liang2024arxiv 2405.06586
CSA-Net: Channel-wise Spatially Autocorrelated Attention NetworksNick Nikzad, Yongsheng Gao, Jun Zhou2024arxiv 2405.05755
TAI++: Text as Image for Multi-Label Image Classification by Co-Learning Transferable PromptXiangyu Wu, Qing-Yuan Jiang, Yang Yang2024arxiv 2405.06926
Enhancing Pollinator Conservation towards Agriculture 4.0: Monitoring of Bees through Object RecognitionAjay John Alex, Chloe M. Barnes, Pedro Machado2024arxiv 2405.15428
Semantic-aware SAM for Point-Prompted Instance SegmentationZhaoyang Wei, Pengfei Chen, Xuehui Yu2023arxiv 2312.15895
Organizing Background to Explore Latent Classes for Incremental Few-shot Semantic SegmentationLianlei Shan, Wenzhang Zhou, Wei Li2024arxiv 2405.19568
Image Captioning via Dynamic Path CustomizationYiwei Ma, Jiayi Ji, Xiaoshuai Sun2024arxiv 2406.00334
HUWSOD: Holistic Self-training for Unified Weakly Supervised Object DetectionLiujuan Cao, Jianghang Lin, Zebo Hong2024arxiv 2406.19394
On Discrete Prompt Optimization for Diffusion ModelsRuochen Wang, Ting Liu, Cho-Jui Hsieh2024arxiv 2407.01606
SDLNet: Statistical Deep Learning Network for Co-Occurring Object Detection and IdentificationBinay Kumar Singh, Niels Da Vitoria Lobo2024arxiv 2407.17664
HQOD: Harmonious Quantization for Object DetectionLong Huang, Zhiwei Dong, Song-Lu Chen2024arxiv 2408.02561
High-Performance Few-Shot Segmentation with Foundation Models: An Empirical StudyShijie Chang, Lihe Zhang, Huchuan Lu2024arxiv 2409.06305
Uncertainty estimation in Deep Learning for Panoptic segmentationMichael Smith, Frank Ferrie2023arxiv 2304.02098
Unsupervised Image Segmentation by Mutual Information Maximization and Adversarial RegularizationS. Ehsan Mirsadeghi, Ali Royat, Hamid Rezatofighi2021arxiv 2107.00691
A Survey on Deep Domain Adaptation and Tiny Object Detection Challenges, Techniques and DatasetsMuhammed Muzammul, Xi Li2021arxiv 2107.07927
A High-Performance Adaptive Quantization Approach for Edge CNN ApplicationsHsu-Hsun Chin, Ren-Song Tsay, Hsin-I Wu2021arxiv 2107.08382
Dual-Level Collaborative Transformer for Image CaptioningYunpeng Luo, Jiayi Ji, Xiaoshuai Sun2021arxiv 2101.06462
CaT: Weakly Supervised Object Detection with Category TransferTianyue Cao, Lianyu Du, Xiaoyun Zhang2021arxiv 2108.07487
Layer-wise Customized Weak Segmentation Block and AIoU Loss for Accurate Object DetectionKeyang Wang, Lei Zhang, Wenli Song2021arxiv 2108.11021
Common Objects in 3D: Large-Scale Learning and Evaluation of Real-life 3D Category ReconstructionJeremy Reizenstein, Roman Shapovalov, Philipp Henzler2021arxiv 2109.00512