1 citations · 2 across the 5 of their papers we have counts for
5 papers
Training-Only Heterogeneous Image-Patch-Text Graph Supervision for Advancing Few-Shot Learning Adapters
Mohammed Rahman Sherif Khan Mohammad, Ardhendu Behera, Sandip Pradhan +2
Recent adapter-based CLIP tuning (e.g., Tip-Adapter) is a strong few-shot learner, achieving efficiency by caching support features for fast prototype matching. However, these meth…
CRC-RL: A Novel Visual Feature Representation Architecture for Unsupervised Reinforcement Learning
Darshita Jain, Anima Majumder, Samrat Dutta +1
This paper addresses the problem of visual feature representation learning with an aim to improve the performance of end-to-end reinforcement learning (RL) models. Specifically, a…
Benchmarking Deep Reinforcement Learning Algorithms for Vision-based Robotics
Swagat Kumar, Hayden Sampson, Ardhendu Behera
This paper presents a benchmarking study of some of the state-of-the-art reinforcement learning algorithms used for solving two simulated vision-based robotics problems. The algori…
Controlling an Inverted Pendulum with Policy Gradient Methods-A Tutorial
Swagat Kumar
This paper provides the details of implementing two important policy gradient methods to solve the inverted pendulum problem. These are namely the Deep Deterministic Policy Gradien…
Attention-Driven Body Pose Encoding for Human Activity Recognition
B Debnath, M O'brien, S Kumar +1
This article proposes a novel attention-based body pose encoding for human activity recognition that presents a enriched representation of body-pose that is learned. The enriched d…