Search Results for author:
Found 6 papers, 5 papers with code
Language-conditioned Detection Transformer
We use this detector to pseudo-label images with image-level labels.
Long-tail Detection with Effective Class-Margins
Large-scale object detection and instance segmentation face a severe data imbalance.
PartDistillation: Learning Parts From Instance Segmentation
PartDistillation transfers the part information of an instance segmentation model into a part segmentation model through self-supervised self-training on a large dataset.
NMS Strikes Back
Our detector that trains Deformable-DETR with traditional IoU-based label assignment achieved 50. 2 COCO mAP within 12 epochs (1x schedule) with ResNet50 backbone, outperforming all existing traditional or transformer-based detectors in this setting.
Ranked #2 on
Object Detection
on COCO-O
(using extra training data)
PiCIE: Unsupervised Semantic Segmentation using Invariance and Equivariance in Clustering
With our novel learning objective, our framework can learn high-level semantic concepts.
Ranked #3 on
Unsupervised Semantic Segmentation
on COCO-Stuff-171
On the Efficacy of Knowledge Distillation
In this paper, we present a thorough evaluation of the efficacy of knowledge distillation and its dependence on student and teacher architectures.
