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20182022
most citedStructure Guided Lane Detection

2 citations · 3 across the 3 of their papers we have counts for

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9 papers · 1 filter

cs.CV2024

BEM: Balanced and Entropy-based Mix for Long-Tailed Semi-Supervised Learning

Hongwei Zheng, Linyuan Zhou, Han Li +3

Data mixing methods play a crucial role in semi-supervised learning (SSL), but their application is unexplored in long-tailed semi-supervised learning (LTSSL). The primary reason i…

cs.CV2024

Text2Street: Controllable Text-to-image Generation for Street Views

Jinming Su, Songen Gu, Yiting Duan +2

Text-to-image generation has made remarkable progress with the emergence of diffusion models. However, it is still a difficult task to generate images for street views based on tex…

cs.CV2022

InsCon:Instance Consistency Feature Representation via Self-Supervised Learning

Junwei Yang, Ke Zhang, Zhaolin Cui +3

Feature representation via self-supervised learning has reached remarkable success in image-level contrastive learning, which brings impressive performances on image classification…

cs.CV20212 cited

Structure Guided Lane Detection

Jinming Su, Chao Chen, Ke Zhang +3

Recently, lane detection has made great progress with the rapid development of deep neural networks and autonomous driving. However, there exist three mainly problems including cha…

cs.CV20211 cited

Exploring Driving-aware Salient Object Detection via Knowledge Transfer

Jinming Su, Changqun Xia, Jia Li

Recently, general salient object detection (SOD) has made great progress with the rapid development of deep neural networks. However, task-aware SOD has hardly been studied due to…

cs.CV2019

Exploring Reciprocal Attention for Salient Object Detection by Cooperative Learning

Changqun Xia, Jia Li, Jinming Su +1

Typically, objects with the same semantics are not always prominent in images containing different backgrounds. Motivated by this observation that accurately salient object detecti…