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Found 6 papers, 0 papers with code
ST-DETR: Spatio-Temporal Object Traces Attention Detection Transformer
We propose ST-DETR, a Spatio-Temporal Transformer-based architecture for object detection from a sequence of temporal frames.
MODETR: Moving Object Detection with Transformers
Several methods of incorporating motion cues with the Transformer model are explored, including two-stream RGB and Optical Flow (OF) methods, and multi-stream architectures that take advantage of sequence information.
Spatio-Temporal Multi-Task Learning Transformer for Joint Moving Object Detection and Segmentation
Detecting moving objects can be posed as Moving Object Segmentation, by segmenting the object pixels, or Moving Object Detection, by generating a bounding box for the moving targets.
INSTA-YOLO: Real-Time Instance Segmentation
We compare our results to the state-of-the-art models for instance segmentation.
Generalized Object Detection on Fisheye Cameras for Autonomous Driving: Dataset, Representations and Baseline
It is the first detailed study on object detection on fisheye cameras for autonomous driving scenarios to the best of our knowledge.
Monocular Instance Motion Segmentation for Autonomous Driving: KITTI InstanceMotSeg Dataset and Multi-task Baseline
Moving object segmentation is a crucial task for autonomous vehicles as it can be used to segment objects in a class agnostic manner based on their motion cues.
