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Found 19 papers, 12 papers with code
NTIRE 2024 Challenge on Short-form UGC Video Quality Assessment: Methods and Results
This paper reviews the NTIRE 2024 Challenge on Shortform UGC Video Quality Assessment (S-UGC VQA), where various excellent solutions are submitted and evaluated on the collected dataset KVQ from popular short-form video platform, i. e., Kuaishou/Kwai Platform.
SM4Depth: Seamless Monocular Metric Depth Estimation across Multiple Cameras and Scenes by One Model
Third, to reduce the reliance on massive training data, we propose a ``divide and conquer" solution.
An Efficient Learning-based Solver Comparable to Metaheuristics for the Capacitated Arc Routing Problem
Recently, neural networks (NN) have made great strides in combinatorial optimization.
HDRTransDC: High Dynamic Range Image Reconstruction with Transformer Deformation Convolution
High Dynamic Range (HDR) imaging aims to generate an artifact-free HDR image with realistic details by fusing multi-exposure Low Dynamic Range (LDR) images.
Indoor Obstacle Discovery on Reflective Ground via Monocular Camera
Note that obstacle and reflection can be separated by the ground plane in 3D space.
Unknown Sniffer for Object Detection: Don't Turn a Blind Eye to Unknown Objects
The recently proposed open-world object and open-set detection have achieved a breakthrough in finding never-seen-before objects and distinguishing them from known ones.
Ranked #1 on
Open World Object Detection
on COCO-OOD
Mask Reference Image Quality Assessment
However, especially for many severely distorted images, even if there is an undistorted image as a reference (FR-IQA), it is difficult to perceive the lost semantic and texture information of distorted images directly.
Thinking Image Color Aesthetics Assessment: Models, Datasets and Benchmarks
We present a comprehensive study on a new task named image color aesthetics assessment (ICAA), which aims to assess color aesthetics based on human perception.
MARF: Multiscale Adaptive-switch Random Forest for Leg Detection with 2D Laser Scanners
Moreover, we further apply the proposed MARF to the people detection and tracking system, achieving a considerable gain in all metrics.
Fast Road Segmentation via Uncertainty-aware Symmetric Network
The high performance of RGB-D based road segmentation methods contrasts with their rare application in commercial autonomous driving, which is owing to two reasons: 1) the prior methods cannot achieve high inference speed and high accuracy in both ways; 2) the different properties of RGB and depth data are not well-exploited, limiting the reliability of predicted road.
Monocular Depth Distribution Alignment with Low Computation
In this paper, we model the majority of accuracy contrast between them as the difference of depth distribution, which we call "Distribution drift".
Tiny Obstacle Discovery by Occlusion-Aware Multilayer Regression
Edges are the fundamental visual element for discovering tiny obstacles using a monocular camera.
MT-ORL: Multi-Task Occlusion Relationship Learning
Retrieving occlusion relation among objects in a single image is challenging due to sparsity of boundaries in image.
Boundary-induced and scene-aggregated network for monocular depth prediction
However, two issues remain unresolved: (1) The deep feature encodes the wrong farthest region in a scene, which leads to a distorted 3D structure of the predicted depth; (2) The low-level features are insufficient utilized, which makes it even harder to estimate the depth near the edge with sudden depth change.
DDNet: Dual-path Decoder Network for Occlusion Relationship Reasoning
Besides, considering the restriction of occlusion orientation presentation to occlusion orientation learning, we design a new orthogonal representation for occlusion orientation and proposed the Orthogonal Orientation Regression loss which can get rid of the unfitness between occlusion representation and learning and further prompt the occlusion orientation learning.
Occlusion-shared and Feature-separated Network for Occlusion Relationship Reasoning
On one hand, considering the relevance between edge and orientation, two sub-networks are designed to share the occlusion cue.
A Novel Multi-layer Framework for Tiny Obstacle Discovery
For tiny obstacle discovery in a monocular image, edge is a fundamental visual element.
Context-Constrained Accurate Contour Extraction for Occlusion Edge Detection
Occlusion edge detection requires both accurate locations and context constraints of the contour.
