36 citations · 106 across the 15 of their papers we have counts for
22 papers · 1 filter
ALIFE: Adaptive Logit Regularizer and Feature Replay for Incremental Semantic Segmentation
Youngmin Oh, Donghyeon Baek, Bumsub Ham
We address the problem of incremental semantic segmentation (ISS) recognizing novel object/stuff categories continually without forgetting previous ones that have been learned. The…
Decomposed Knowledge Distillation for Class-Incremental Semantic Segmentation
Donghyeon Baek, Youngmin Oh, Sanghoon Lee +2
Class-incremental semantic segmentation (CISS) labels each pixel of an image with a corresponding object/stuff class continually. To this end, it is crucial to learn novel classes…
Video-based Person Re-identification with Spatial and Temporal Memory Networks
Chanho Eom, Geon Lee, Junghyup Lee +1
Video-based person re-identification (reID) aims to retrieve person videos with the same identity as a query person across multiple cameras. Spatial and temporal distractors in per…
Learning by Aligning: Visible-Infrared Person Re-identification using Cross-Modal Correspondences
Hyunjong Park, Sanghoon Lee, Junghyup Lee +1
We address the problem of visible-infrared person re-identification (VI-reID), that is, retrieving a set of person images, captured by visible or infrared cameras, in a cross-modal…
Distance-aware Quantization
Dohyung kim, Junghyup Lee, Bumsub Ham
We address the problem of network quantization, that is, reducing bit-widths of weights and/or activations to lighten network architectures. Quantization methods use a rounding fun…
Exploiting a Joint Embedding Space for Generalized Zero-Shot Semantic Segmentation
Donghyeon Baek, Youngmin Oh, Bumsub Ham
We address the problem of generalized zero-shot semantic segmentation (GZS3) predicting pixel-wise semantic labels for seen and unseen classes. Most GZS3 methods adopt a generative…