Research

Papers for “coco”

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

Title	Authors	Year	Source
HDINO: A Concise and Efficient Open-Vocabulary Detector	Hao Zhang, Yiqun Wang, Qinran Lin	2026	arxiv 2603.02924
Class Geometry as Supervision for Sample-Efficient Open-World Detection	Akash Rao, Zhou Chen, Revanth Reddy Palem	2026	arxiv 2608.12698
Vision Transformer: Vit and its Derivatives	Zujun Fu	2022	arxiv 2205.11239
ICNet for Real-Time Semantic Segmentation on High-Resolution Images	Hengshuang Zhao, Xiaojuan Qi, Xiaoyong Shen	2017	arxiv 1704.08545
Adaptive Control of Embedding Strength in Image Watermarking using Neural Networks	Mahnoosh Bagheri, Majid Mohrekesh, Nader Karimi	2020	arxiv 2001.03251
T-VSE: Transformer-Based Visual Semantic Embedding	Muhammet Bastan, Arnau Ramisa, Mehmet Tek	2020	arxiv 2005.08399
Implicit Feature Pyramid Network for Object Detection	Tiancai Wang, Xiangyu Zhang, Jian Sun	2020	arxiv 2012.13563
CornerNet: Detecting Objects as Paired Keypoints	Hei Law, Jia Deng	2018	arxiv 1808.01244
OD-GCN: Object Detection Boosted by Knowledge GCN	Zheng Liu, Zidong Jiang, Wei Feng	2019	arxiv 1908.04385
UCP-Net: Unstructured Contour Points for Instance Segmentation	Camille Dupont, Yanis Ouakrim, Quoc Cuong Pham	2021	arxiv 2109.07592
ODDObjects: A Framework for Multiclass Unsupervised Anomaly Detection on Masked Objects	Ricky Ma	2021	arxiv 2104.12300
CogView: Mastering Text-to-Image Generation via Transformers	Ming Ding, Zhuoyi Yang, Wenyi Hong	2021	arxiv 2105.13290
Visual Semantic Relatedness Dataset for Image Captioning	Ahmed Sabir, Francesc Moreno-Noguer, Lluís Padró	2023	arxiv 2301.08784
Waterfall Transformer for Multi-person Pose Estimation	Navin Ranjan, Bruno Artacho, Andreas Savakis	2024	arxiv 2411.18944
YOLOv4: A Breakthrough in Real-Time Object Detection	Athulya Sundaresan Geetha	2025	arxiv 2502.04161
Fine-tuned Pre-trained Mask R-CNN Models for Surface Object Detection	Haruhiro Fujita, Masatoshi Itagaki, Kenta Ichikawa	2020	arxiv 2010.11464
Attention Beam: An Image Captioning Approach	Anubhav Shrimal, Tanmoy Chakraborty	2020	arxiv 2011.01753
Alleviating Noisy Data in Image Captioning with Cooperative Distillation	Pierre Dognin, Igor Melnyk, Youssef Mroueh	2020	arxiv 2012.11691
Show, Attend and Tell: Neural Image Caption Generation with Visual Attention	Kelvin Xu, Jimmy Ba, Ryan Kiros	2015	arxiv 1502.03044
Improving Text Proposals for Scene Images with Fully Convolutional Networks	Dena Bazazian, Raul Gomez, Anguelos Nicolaou	2017	arxiv 1702.05089

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