2 citations · 2 across the 5 of their papers we have counts for
5 papers
Open-Set Object Detection By Aligning Known Class Representations
Hiran Sarkar, Vishal Chudasama, Naoyuki Onoe +2
Open-Set Object Detection (OSOD) has emerged as a contemporary research direction to address the detection of unknown objects. Recently, few works have achieved remarkable performa…
Cross-Modal Fusion and Attention Mechanism for Weakly Supervised Video Anomaly Detection
Ayush Ghadiya, Purbayan Kar, Vishal Chudasama +1
Recently, weakly supervised video anomaly detection (WS-VAD) has emerged as a contemporary research direction to identify anomaly events like violence and nudity in videos using on…
Beyond Few-shot Object Detection: A Detailed Survey
Vishal Chudasama, Hiran Sarkar, Pankaj Wasnik +2
Object detection is a critical field in computer vision focusing on accurately identifying and locating specific objects in images or videos. Traditional methods for object detecti…
Fiducial Focus Augmentation for Facial Landmark Detection
Purbayan Kar, Vishal Chudasama, Naoyuki Onoe +2
Deep learning methods have led to significant improvements in the performance on the facial landmark detection (FLD) task. However, detecting landmarks in challenging settings, suc…
Revisiting Class Imbalance for End-to-end Semi-Supervised Object Detection
Purbayan Kar, Vishal Chudasama, Naoyuki Onoe +1
Semi-supervised object detection (SSOD) has made significant progress with the development of pseudo-label-based end-to-end methods. However, many of these methods face challenges…