SOTA2 Research · papers

Papers for “coco”

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

Search results

20 indexed

Title	Authors	Year	Source
Learning Open-World Object Proposals without Learning to Classify	Dahun Kim, Tsung-Yi Lin, Anelia Angelova	2021	arxiv 2108.06753
Self-Supervised Visual Representations Learning by Contrastive Mask Prediction	Yucheng Zhao, Guangting Wang, Chong Luo	2021	arxiv 2108.07954
PyMAF: 3D Human Pose and Shape Regression with Pyramidal Mesh Alignment Feedback Loop	Hongwen Zhang, Yating Tian, Xinchi Zhou	2021	arxiv 2103.16507
LayoutTransformer: Layout Generation and Completion with Self-attention	Kamal Gupta, Justin Lazarow, Alessandro Achille	2020	arxiv 2006.14615
flexgrid2vec: Learning Efficient Visual Representations Vectors	Ali Hamdi, Du Yong Kim, Flora D. Salim	2020	arxiv 2007.15444
UniNet: Unified Architecture Search with Convolution, Transformer, and MLP	Jihao Liu, Hongsheng Li, Guanglu Song	2021	arxiv 2110.04035
Explainable Landscape-Aware Optimization Performance Prediction	Risto Trajanov, Stefan Dimeski, Martin Popovski	2021	arxiv 2110.11633
CvT-ASSD: Convolutional vision-Transformer Based Attentive Single Shot MultiBox Detector	Weiqiang Jin, Hang Yu, Hang Yu	2021	arxiv 2110.12364
Split Computing for Complex Object Detectors: Challenges and Preliminary Results	Yoshitomo Matsubara, Marco Levorato	2020	arxiv 2007.13312
Look at here : Utilizing supervision to attend subtle key regions	Changhwan Lee, Yeesuk Kim, Bong Gun Lee	2021	arxiv 2111.13233

LILE: Look In-Depth before Looking Elsewhere -- A Dual Attention Network using Transformers for Cross-Modal Information Retrieval in Histopathology Archives	Danial Maleki, H.R Tizhoosh	2022	arxiv 2203.01445