IEEE

Bringing CLIP to the Clinic: Dynamic Soft Labels and Negation-Aware Learning for Medical Analysis

Abstract: The development of large-scale image-text pair datasets has significantly advanced self-supervised learning in Vision-Language Processing (VLP). However, directly applying general-domain ...
GitHub

BDC-CLIP: Brownian Distance Covariance for Adapting CLIP to Action Recognition

This repository provides the official implementation of the paper: BDC-CLIP: Brownian Distance Covariance for Adapting CLIP to Action Recognition Fei Long*, Xiaoou Li*, Jiaming Lv*, Haoyuan Yang, ...
IEEE

Drone Landing and Reinforcement Learning: State-of-Art, Challenges and Opportunities

Abstract: Unmanned aerial vehicles, and special multirotor drones, have shown great relevance in a plethora of missions that require high affordance, field of view, and precision. Their limited ...
The Border Mail

'Puzzling' classroom removal sparks backlash at North East primary school

A "puzzling" move to remove two modular buildings containing four classrooms at Wodonga Primary School has sparked a passionate plea to reverse the decision.
GitHub

SA-GAN++: Self-Attention DCGAN with CLIP-Enhanced Multimodal Discriminator

Self-Attention Generator (G++): SAGAN-style self-attention block at 16×16 resolution for long-range spatial dependencies CLIP-Enhanced Dual-Head Discriminator (D++): Multimodal discriminator with real ...