GitHub

MultiBanana: A Challenging Benchmark for Multi-Reference Text-to-Image Generation

MultiBanana-Bench comprises 32 tasks designed to evaluate how well image generation models can faithfully incorporate information from multiple reference images. We report evaluation scores using ...
eLife

New idtracker.ai rethinks multi-animal tracking as a representation learning problem to increase accuracy and reduce tracking time

Identification of each animal in a collective becomes possible even when individuals are never all visible simultaneously, enabling faster and more accurate analysis of collective behavior.
IEEE

Optimizing ResNet-50 for Multiclass Classification: A Multi-Stage Learning Approach

Abstract: In this study, we present a multistage learning pipeline that utilizes the ResNet-50 architecture as a static feature extractor for multiclass image classification problems. This methodology ...
IEEE

CNNGP: Multi-tree Genetic Programming Integrating Pre-trained CNN Features for Fine-Grained Image Classification

Abstract: Fine-grained image classification (FGIC) remains a challenging task due to subtle inter-class differences and significant intra-class variations, particularly under limited training data.