research
∙
06/06/2023
Emergent Correspondence from Image Diffusion
Finding correspondences between images is a fundamental problem in compu...
share
research
∙
11/18/2022
Magic3D: High-Resolution Text-to-3D Content Creation
DreamFusion has recently demonstrated the utility of a pre-trained text-...
research
∙
07/07/2022
Diagnosing and Remedying Shot Sensitivity with Cosine Few-Shot Learners
Few-shot recognition involves training an image classifier to distinguis...
research
∙
03/23/2022
Visual Prompt Tuning
The current modus operandi in adapting pre-trained models involves updat...
research
∙
12/02/2020
Fine-Grained Few-Shot Classification with Feature Map Reconstruction Networks
In this paper we reformulate few-shot classification as a reconstruction...
research
∙
04/01/2020
Revisiting Pose-Normalization for Fine-Grained Few-Shot Recognition
Few-shot, fine-grained classification requires a model to learn subtle, ...
research
∙
09/17/2017
Multi-Entity Dependence Learning with Rich Context via Conditional Variational Auto-encoder
Multi-Entity Dependence Learning (MEDL) explores conditional correlation...
research
∙
07/11/2017