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Found 11 papers, 3 papers with code
SimPB: A Single Model for 2D and 3D Object Detection from Multiple Cameras
The field of autonomous driving has attracted considerable interest in approaches that directly infer 3D objects in the Bird's Eye View (BEV) from multiple cameras.
Enhancing 3D Object Detection with 2D Detection-Guided Query Anchors
A 2D bounding box of an object in an image is lifted to a set of 3D anchors by associating each sampled point within the box with depth, yaw angle, and size candidates.
CurveFormer++: 3D Lane Detection by Curve Propagation with Temporal Curve Queries and Attention
A curve cross-attention module is introduced in the Transformer decoder to calculate similarities between image features and curve queries of lanes.
Multi-Correlation Siamese Transformer Network with Dense Connection for 3D Single Object Tracking
Instead of performing correlation of the two branches at just one point in the network, in this paper, we present a multi-correlation Siamese Transformer network that has multiple stages and carries out feature correlation at the end of each stage based on sparse pillars.
CircleFormer: Circular Nuclei Detection in Whole Slide Images with Circle Queries and Attention
Inspired by the recent anchor free CNN-based circular object detection method (CircleNet) for ball-shape glomeruli detection in renal pathology, in this paper, we present CircleFormer, a Transformer-based circular medical object detection with dynamic anchor circles.
CurveFormer: 3D Lane Detection by Curve Propagation with Curve Queries and Attention
In this paper, we propose CurveFormer, a single-stage Transformer-based method that directly calculates 3D lane parameters and can circumvent the difficult view transformation step.
Ranked #2 on
3D Lane Detection
on Apollo Synthetic 3D Lane
Relay Hindsight Experience Replay: Self-Guided Continual Reinforcement Learning for Sequential Object Manipulation Tasks with Sparse Rewards
To solve these tasks efficiently, we propose a novel self-guided continual RL framework, RelayHER (RHER).
Traffic Context Aware Data Augmentation for Rare Object Detection in Autonomous Driving
In this work, we propose a systematic study on simple Copy-Paste data augmentation for rare object detection in autonomous driving.
BEVSegFormer: Bird's Eye View Semantic Segmentation From Arbitrary Camera Rigs
Semantic segmentation in bird's eye view (BEV) is an important task for autonomous driving.
Coarse-to-fine Semantic Localization with HD Map for Autonomous Driving in Structural Scenes
To this end, we formulate vision-based localization as a data association problem that maps visual semantics to landmarks in HD map.
Curvilinear Structure Tracking by Low Rank Tensor Approximation with Model Propagation
Robust tracking of deformable object like catheter or vascular structures in X-ray images is an important technique used in image guided medical interventions for effective motion compensation and dynamic multi-modality image fusion.
