Research

Papers for “coco”

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

Title	Authors	Year	Source
Active Learning Strategies for Weakly-supervised Object Detection	Huy V. Vo, Oriane Siméoni, Spyros Gidaris	2022	arxiv 2207.12112
AlphaPose: Whole-Body Regional Multi-Person Pose Estimation and Tracking in Real-Time	Hao-Shu Fang, Jiefeng Li, Hongyang Tang	2022	arxiv 2211.03375
Exploring Discrete Diffusion Models for Image Captioning	Zixin Zhu, Yixuan Wei, Jianfeng Wang	2022	arxiv 2211.11694
NMS Strikes Back	Jeffrey Ouyang-Zhang, Jang Hyun Cho, Xingyi Zhou	2022	arxiv 2212.06137
EM-Paste: EM-guided Cut-Paste with DALL-E Augmentation for Image-level Weakly Supervised Instance Segmentation	Yunhao Ge, Jiashu Xu, Brian Nlong Zhao	2022	arxiv 2212.07629
Anchor-Intermediate Detector: Decoupling and Coupling Bounding Boxes for Accurate Object Detection	Yilong Lv, Min Li, Yujie He	2023	arxiv 2310.05666
Visual In-Context Prompting	Feng Li, Qing Jiang, Hao Zhang	2023	arxiv 2311.13601
Ask Me Anything: Free-form Visual Question Answering Based on Knowledge from External Sources	Qi Wu, Peng Wang, Chunhua Shen	2015	arxiv 1511.06973
A MultiPath Network for Object Detection	Sergey Zagoruyko, Adam Lerer, Tsung-Yi Lin	2016	arxiv 1604.02135
Counting Everyday Objects in Everyday Scenes	Prithvijit Chattopadhyay, Ramakrishna Vedantam, Ramprasaath R. Selvaraju	2016	arxiv 1604.03505
An Analysis of Scale Invariance in Object Detection - SNIP	Bharat Singh, Larry S. Davis	2017	arxiv 1711.08189
PoseBH: Prototypical Multi-Dataset Training Beyond Human Pose Estimation	Uyoung Jeong, Jonathan Freer, Seungryul Baek	2025	arxiv 2505.17475
Towards a Theory-Guided Benchmarking Suite for Discrete Black-Box Optimization Heuristics: Profiling $(1+\lambda)$ EA Variants on OneMax and LeadingOnes	Carola Doerr, Furong Ye, Sander van Rijn	2018	arxiv 1808.05850
CQ-DINO: Mitigating Gradient Dilution via Category Queries for Vast Vocabulary Object Detection	Zhichao Sun, Huazhang Hu, Yidong Ma	2025	arxiv 2503.18430
Large-Language-Model-Guided State Estimation for Partially Observable Task and Motion Planning	Yoonwoo Kim, Raghav Arora, Roberto Martín-Martín	2026	arxiv 2603.03704
Monte Carlo Stochastic Depth for Uncertainty Estimation in Deep Learning	Adam T. Müller, Tobias Rögelein, Nicolaj C. Stache	2026	arxiv 2604.12719
OD3: Optimization-free Dataset Distillation for Object Detection	Salwa K. Al Khatib, Ahmed ElHagry, Shitong Shao	2025	arxiv 2506.01942
XiYOLO: Energy-Aware Object Detection via Iterative Architecture Search and Scaling	Tony Tran, Richie R. Suganda, Bin Hu	2026	arxiv 2605.06927
Knowledge-Guided Failure Prediction: Detecting When Object Detectors Miss Safety-Critical Objects	Jakob Paul Zimmermann, Gerrit Holzbach, David Lerch	2026	arxiv 2603.25499
WaDi: Weight Direction-aware Distillation for One-step Image Synthesis	Lei Wang, Yang Cheng, Senmao Li	2026	arxiv 2603.08258

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