Categories: AI/ML News

A new approach for map densification in visual place recognition

Visual place recognition (VPR) is the task of identifying the location where specific images were taken. Computer scientists have recently developed various deep learning algorithms that could effectively tackle this task, letting users know where within a known environment an image was captured.

CatLIP: CLIP-level Visual Recognition Accuracy with 2.7× Faster Pre-training on Web-scale Image-Text Data

Contrastive learning has emerged as a transformative method for learning effective visual representations through the alignment of image and text embeddings. However, pairwise similarity computation in contrastive loss between image and text pairs poses computational challenges. This paper presents a novel weakly supervised pre-training of vision models on web-scale image-text…

April 26, 2024

In "FAANG"

Young children outperform state-of-the-art AI in visual object recognition

As artificial intelligence (AI) rapidly grows—a recent UN Trade and Development report projects the global AI market soaring to $4.8 trillion by 2033—the technology seems equipped to handle any task. Driving cars. Analyzing medical images. Making music. Having a conversation.

July 4, 2025

In "AI/ML News"

Can You Remove the Downstream Model for Speaker Recognition with Self-Supervised Speech Features?

Self-supervised features are typically used in place of filter-bank features in speaker verification models. However, these models were originally designed to ingest filter-banks as inputs, and thus, training them on self-supervised features assumes that both feature types require the same amount of learning for the task. In this work, we…

August 20, 2024

In "FAANG"

AI Generated Robotic Content