SOTA2 Research · papers

Papers for “semantic segmentation”

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

Search results

20 indexed

Title	Authors	Year	Source
Generative Denoise Distillation: Simple Stochastic Noises Induce Efficient Knowledge Transfer for Dense Prediction	Zhaoge Liu, Xiaohao Xu, Yunkang Cao	2024	arxiv 2401.08332
Cross-Domain Transfer Learning with CoRTe: Consistent and Reliable Transfer from Black-Box to Lightweight Segmentation Model	Claudia Cuttano, Antonio Tavera, Fabio Cermelli	2024	arxiv 2402.13122
The Need for Speed: Pruning Transformers with One Recipe	Samir Khaki, Konstantinos N. Plataniotis	2024	arxiv 2403.17921
Rethinking the Evaluation of Visible and Infrared Image Fusion	Dayan Guan, Yixuan Wu, Tianzhu Liu	2024	arxiv 2410.06811
Search-based DNN Testing and Retraining with GAN-enhanced Simulations	Mohammed Oualid Attaoui, Fabrizio Pastore, Lionel Briand	2024	arxiv 2406.13359
ChildlikeSHAPES: Semantic Hierarchical Region Parsing for Animating Figure Drawings	Astitva Srivastava, Harrison Jesse Smith, Thu Nguyen-Phuoc	2025	arxiv 2504.08022
Out-of-Distribution Detection & Applications With Ablated Learned Temperature Energy	Will LeVine, Benjamin Pikus, Jacob Phillips	2024	arxiv 2401.12129
Deep Anatomical Federated Network (Dafne): An open client-server framework for the continuous, collaborative improvement of deep learning-based medical image segmentation	Francesco Santini, Jakob Wasserthal, Abramo Agosti	2023	arxiv 2302.06352
Beyond Image Super-Resolution for Image Recognition with Task-Driven Perceptual Loss	Jaeha Kim, Junghun Oh, Kyoung Mu Lee	2024	arxiv 2404.01692