GitHub

Vision model for object detection and segmentation using TENNs State Space Model neural network.

State Space Models (SSMs) are emerging as a practical alternative to transformers, offering similar or better performance with significantly fewer parameters and lower compute requirements. Mamba, the ...
Benzinga.com

Mastering the Earnings API: Earnings Calendars and Surprise Detection with Python

Earnings announcements are one of the few scheduled events that consistently move markets. Prices react not just to the reported numbers, but to how those numbers compare with expectations. A small ...
IEEE

BBD-YOLO: An Improved Object Detection Algorithm for UAV Images Based on Dynamic Sparse Attention and Multi-Scale Feature Fusion

Abstract: Object detection technology for UAV images holds significant importance in various fields. However, many existing object detection algorithms suffer from limited detection accuracy, along ...
IEEE

Source-Free Object Detection With Detection Transformer

Abstract: Source-Free Object Detection (SFOD) enables knowledge transfer from a source domain to an unsupervised target domain for object detection without access to source data. Most existing SFOD ...
GitHub

LMM-Det: Make Large Multimodal Models Excel in Object Detection

This repository is the official implementation of LMM-Det, a simple yet effective approach that leverages a Large Multimodal Model for vanilla object Detection without relying on specialized detection ...