Search Results for author:
Found 5 papers, 5 papers with code
Adapting Pre-Trained Vision Models for Novel Instance Detection and Segmentation
Novel Instance Detection and Segmentation (NIDS) aims at detecting and segmenting novel object instances given a few examples of each instance.
Proto-CLIP: Vision-Language Prototypical Network for Few-Shot Learning
The two encoders are used to compute prototypes of image classes for classification.
SCENEREPLICA: Benchmarking Real-World Robot Manipulation by Creating Replicable Scenes
We present a new reproducible benchmark for evaluating robot manipulation in the real world, specifically focusing on pick-and-place.
FewSOL: A Dataset for Few-Shot Object Learning in Robotic Environments
We introduce the Few-Shot Object Learning (FewSOL) dataset for object recognition with a few images per object.
[Re] Improving Multi-hop Question Answering over Knowledge Graphs using Knowledge Base Embeddings
In addition to making the codebase more modular and easy to navigate, we have made changes to incorporate different transformers in the question embedding module.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
