Detect unknown and known objects using image semantics and slots with OpenSlot OpenSlot: Mixed Open-set Recognition with Object-centric...

Survey of resource-efficient backbones for computer vision for each domain Which Backbone to Use: A Resource-efficient Domain Specific...

Survey of video anomaly detection over past 10 years with Abdalla Video Anomaly Detection in 10 Years: A Survey and Outlook arXiv paper...

Survey of depth from monocular image and videos using deep learning with Rajapaksha Deep Learning-based Depth Estimation Methods from...

Segment scene 2x faster using convolution, RWKV, and multiscale tokens with RWKV-SAM Mamba or RWKV: Exploring High-Quality and...

Get 3D scene and location by encoding geometry and appearance as factors for features with DF-SLAM DF-SLAM: Dictionary Factors...

Segment scene with semi-supervised learning using monocular depth estimation with DG Depth-Guided Semi-Supervised Instance Segmentation...

Segment objects with only image labels using negative region of interest with FBR Fine-grained Background Representation for Weakly...

Detect all objects 21.3% better than SAM by expanding prompts for Grounding DINO with DiPEx DiPEx: Dispersing Prompt Expansion for...

Super-resolution image by using semantics to reconstruct details with IG-CFAT IG-CFAT: An Improved GAN-Based Framework for Effectively...

Get 3D scene by preferring walls and floor to be flat, vertical, or horizontal with FAWN FAWN: Floor-And-Walls Normal Regularization for...

Segment scene fast by change multi-path blocks in training to single-path when infer with RDRNet Reparameterizable Dual-Resolution...

Weakly supervised segmentation using extracted semantic features from CLIP with WeCLIP Frozen CLIP: A Strong Backbone for Weakly...

Segment object in noisy image with SAM by standardize the variation in degraded image with RobustSAM RobustSAM: Segment Anything Robustly...

Segment object in new domain using SAM and making input features domain-agnostic with APSeg APSeg: Auto-Prompt Network for Cross-Domain...

Segment scene using DINO-ViT feature space and predict embedding that preserve semantics with SimSAM SimSAM: Simple Siamese...

Get 3D scene by removing redundant or inaccurate Gaussians and keeping small Gaussians with TrimGS Trim 3D Gaussian Splatting for...

Get 3D scene using Gaussian splatting with normal, depth maps, and geometric constraints with PGSR PGSR: Planar-based Gaussian Splatting...

Get 3D object shape using neural implicit with self-supervision on surface normals with SN-NIR Normal-guided Detail-Preserving Neural...

Get 3D of unknown scene from from one image by extend depth estimation to make 3D shape with Flash3D Flash3D: Feed-Forward Generalisable...