Survey of transformers for 2D object detection
Survey of transformers for 2D object detection
2D Object Detection with Transformers: A Review
arXiv paper abstract https://arxiv.org/abs/2306.04670
arXiv PDF paper https://arxiv.org/pdf/2306.04670.pdf
Astounding performance of Transformers in natural language processing (NLP) has delighted researchers to explore their utilization in computer vision tasks.
... DEtection TRansformer (DETR) introduces transformers for object detection tasks by considering the detection as a set prediction problem without needing proposal generation and post-processing steps.
It is a state-of-the-art (SOTA) method for object detection, particularly in scenarios where the number of objects in an image is relatively small.
... gives a detailed review of twenty-one papers about recent developments in DETR.
... cover the latest advancements in DETR, including backbone modification, query design and attention refinement.
... also compare all detection transformers in terms of performance and network design ...
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