Object Proposal Generation
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Benchmarks
Most implemented
PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud
CASENet: Deep Category-Aware Semantic Edge Detection
Multi-View 3D Object Detection Network for Autonomous Driving
Recurrent Pixel Embedding for Instance Grouping
Papers
PropVG: End-to-End Proposal-Driven Visual Grounding with Multi-Granularity Discrimination
Recent advances in visual grounding have largely shifted away from traditional proposal-based two-stage frameworks due to their inefficiency and high computational complexity, favoring end-to-end direct reference paradig…
Object Proposal GenerationContrastive LearningVisual GroundingAdapting Pre-Trained Vision Models for Novel Instance Detection and Segmentation
Novel Instance Detection and Segmentation (NIDS) aims at detecting and segmenting novel object instances given a few examples of each instance. We propose a unified, simple, yet effective framework (NIDS-Net) comprising …
Instance SegmentationObject Proposal GenerationSemantic SegmentationTowards Addressing the Misalignment of Object Proposal Evaluation for Vision-Language Tasks via Semantic Grounding
Object proposal generation serves as a standard pre-processing step in Vision-Language (VL) tasks (image captioning, visual question answering, etc.). The performance of object proposals generated for VL tasks is current…
Graph GenerationImage CaptioningObjectObject Proposal Generation+3Small, but important: Traffic light proposals for detecting small traffic lights and beyond
Traffic light detection is a challenging problem in the context of self-driving cars and driver assistance systems. While most existing systems produce good results on large traffic lights, detecting small and tiny ones …
Object Proposal GenerationSelf-Driving CarsFast Segment Anything
The recently proposed segment anything model (SAM) has made a significant influence in many computer vision tasks. It is becoming a foundation step for many high-level tasks, like image segmentation, image caption, and i…
Edge DetectionImage SegmentationInstance SegmentationObject Proposal Generation+4SalienDet: A Saliency-based Feature Enhancement Algorithm for Object Detection for Autonomous Driving
Object detection (OD) is crucial to autonomous driving. On the other hand, unknown objects, which have not been seen in training sample set, are one of the reasons that hinder autonomous vehicles from driving beyond the …
Autonomous DrivingAutonomous VehiclesIncremental LearningObject+3