5 citations · 6 across the 3 of their papers we have counts for
3 papers · 1 filter
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…
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…
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…