5 citations · 6 across the 3 of their papers we have counts for
3 papers
cs.CV2024
Multi-Granularity Video Object Segmentation
Sangbeom Lim, Seongchan Kim, Seungjun An +3
Current benchmarks for video segmentation are limited to annotating only salient objects (i.e., foreground instances). Despite their impressive architectural designs, previous work…
cs.CV2023★ 1 cited
Context Enhanced Transformer for Single Image Object Detection
Seungjun An, Seonghoon Park, Gyeongnyeon Kim +3
With the increasing importance of video data in real-world applications, there is a rising need for efficient object detection methods that utilize temporal information. While exis…
cs.CV2023★ 5 cited
CAT-Seg: Cost Aggregation for Open-Vocabulary Semantic Segmentation
Seokju Cho, Heeseong Shin, Sunghwan Hong +3
Open-vocabulary semantic segmentation presents the challenge of labeling each pixel within an image based on a wide range of text descriptions. In this work, we introduce a novel c…