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Found 11 papers, 2 papers with code
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
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.
A Simple and Strong Baseline for Universal Targeted Attacks on Siamese Visual Tracking
In this paper, we show the existence of universal perturbations that can enable the targeted attack, e. g., forcing a tracker to follow the ground-truth trajectory with specified offsets, to be video-agnostic and free from inference in a network.
Planar Object Tracking in the Wild: A Benchmark
In this paper, we present a carefully designed planar object tracking benchmark containing 210 videos of 30 planar objects sampled in the natural environment.
Adaptive Objectness for Object Tracking
Noting that the way we integrate objectness in visual tracking is generic and straightforward, we expect even more improvement by using tracker-specific objectness.
