Research

Papers for “coco”

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

Title	Authors	Year	Source
Multiple Object Stitching for Unsupervised Representation Learning	Chengchao Shen, Dawei Liu, Jianxin Wang	2025	arxiv 2506.07364
Sequential Policy Gradient for Adaptive Hyperparameter Optimization	Zheng Li, Jerry Cheng, Huanying Helen Gu	2025	arxiv 2506.15051
Adaptive Estimation of the Number of Algorithm Runs in Stochastic Optimization	Tome Eftimov, Peter Korošec	2025	arxiv 2507.01629
LGM-Pose: A Lightweight Global Modeling Network for Real-time Human Pose Estimation	Biao Guo, Cong Zhou, Fangmin Guo	2025	arxiv 2506.04561
CompressNAS : A Fast and Efficient Technique for Model Compression using Decomposition	Sudhakar Sah, Nikhil Chabbra, Matthieu Durnerin	2025	arxiv 2511.11716
Semantic-Aware Representation Learning via Conditional Transport for Multi-Label Image Classification	Ren-Dong Xie, Zhi-Fen He, Bo Li	2025	arxiv 2507.14918
VLMDiff: Leveraging Vision-Language Models for Multi-Class Anomaly Detection with Diffusion	Samet Hicsonmez, Abd El Rahman Shabayek, Djamila Aouada	2025	arxiv 2511.08173
MegDet: A Large Mini-Batch Object Detector	Chao Peng, Tete Xiao, Zeming Li	2017	arxiv 1711.07240
Cut and Learn for Unsupervised Object Detection and Instance Segmentation	Xudong Wang, Rohit Girdhar, Stella X. Yu	2023	arxiv 2301.11320
Elimination of Non-Novel Segments at Multi-Scale for Few-Shot Segmentation	Alper Kayabaş\i, Gülin Tüfekci, \.Ilkay Ulusoy	2022	arxiv 2211.02300
Object Detection as Probabilistic Set Prediction	Georg Hess, Christoffer Petersson, Lennart Svensson	2022	arxiv 2203.07980
Bridging the Gap to Real-World Object-Centric Learning	Maximilian Seitzer, Max Horn, Andrii Zadaianchuk	2022	arxiv 2209.14860
Addressing the Challenges of Open-World Object Detection	David Pershouse, Feras Dayoub, Dimity Miller	2023	arxiv 2303.14930
HOKEM: Human and Object Keypoint-based Extension Module for Human-Object Interaction Detection	Yoshiki Ito	2023	arxiv 2306.14260
DHR: Dual Features-Driven Hierarchical Rebalancing in Inter- and Intra-Class Regions for Weakly-Supervised Semantic Segmentation	Sanghyun Jo, Fei Pan, In-Jae Yu	2024	arxiv 2404.00380
A Multi-task Supervised Compression Model for Split Computing	Yoshitomo Matsubara, Matteo Mendula, Marco Levorato	2025	arxiv 2501.01420
KonvLiNA: Integrating Kolmogorov-Arnold Network with Linear Nystr\"om Attention for feature fusion in Crop Field Detection	Haruna Yunusa, Qin Shiyin, Adamu Lawan	2024	arxiv 2408.13160
MicroViT: A Vision Transformer with Low Complexity Self Attention for Edge Device	Novendra Setyawan, Chi-Chia Sun, Mao-Hsiu Hsu	2025	arxiv 2502.05800
NordFKB: a fine-grained benchmark dataset for geospatial AI in Norway	Sander Riis\oen Jyhne, Aditya Gupta, Ben Worsley	2025	arxiv 2512.09913
LAPX: Lightweight Hourglass Network with Global Context	Haopeng Zhao, Marsha Mariya Kappan, Mahdi Bamdad	2025	arxiv 2512.16089

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