DETR-based methods, which use multi-layer transformer decoders to refine object queries iteratively, have shown promising performance in 3D indoor object detection. However, the scene point features ...
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 ...
Highlights. Compared to our conference version, we achieve new SOTA in the field of COD via the two well-elaborated sub-modules, including neighbor connection decoder (NCD) and group-reversal ...
Recent research suggests that humans have a surprising ability—we can sometimes feel a physical object before making contact with it. In a study published this past October in the journal IEEE ...
Astronomers have detected a massive object moving in a synchronized path behind Earth. Early measurements suggest it has been trailing the planet longer than previously assumed. Its trajectory does ...
The DMC tool detects two types of malicious code: (1) exfiltration of sensitive data and (2) timebombs, logic bombs, remote-access Trojans (RATs), and similar malicious code. The goal for the DMC tool ...
Detection of Malicious Code (DMC) is a tool for detecting potentially malicious behavior in C/C++ codebases using static information-flow analysis. The DMC tool detects two types of malicious code: (1 ...
Traffic monitoring plays a vital role in smart city infrastructure, road safety, and urban planning. Traditional detection systems, including earlier deep learning models, often struggle with ...
Abstract: Despite significant advances in object detection methods for traffic scenes, object detection under adverse weather conditions is still a challenging task. Especially in foggy weather, the ...
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