SOTA2 Research · papers

Papers for “coco”

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

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20 indexed

Title	Authors	Year	Source
Bridging the Gap Between Object Detection and User Intent via Query-Modulation	Marco Fornoni, Chaochao Yan, Liangchen Luo	2021	arxiv 2106.10258
Adma-GAN: Attribute-Driven Memory Augmented GANs for Text-to-Image Generation	Xintian Wu, Hanbin Zhao, Liangli Zheng	2022	arxiv 2209.14046
Sequential Ensembling for Semantic Segmentation	Rawal Khirodkar, Brandon Smith, Siddhartha Chandra	2022	arxiv 2210.05387
An Investigation into Whitening Loss for Self-supervised Learning	Xi Weng, Lei Huang, Lei Zhao	2022	arxiv 2210.03586
Singular Value Fine-tuning: Few-shot Segmentation requires Few-parameters Fine-tuning	Yanpeng Sun, Qiang Chen, Xiangyu He	2022	arxiv 2206.06122
Neighbor Regularized Bayesian Optimization for Hyperparameter Optimization	Lei Cui, Yangguang Li, Xin Lu	2022	arxiv 2210.03481
UV R-CNN: Stable and Efficient Dense Human Pose Estimation	Wenhe Jia, Yilin Zhou, Xuhan Zhu	2022	arxiv 2211.02337
Unifying conditional and unconditional semantic image synthesis with OCO-GAN	Marlène Careil, Stéphane Lathuilière, Camille Couprie	2022	arxiv 2211.14105
Uncertainty-Aware Image Captioning	Zhengcong Fei, Mingyuan Fan, Li Zhu	2022	arxiv 2211.16769
Target-Free Text-guided Image Manipulation	Wan-Cyuan Fan, Cheng-Fu Yang, Chiao-An Yang	2022	arxiv 2211.14544
Exploring the sequence length bottleneck in the Transformer for Image Captioning