Topic: in-the-wild Goto Github
Some thing interesting about in-the-wild
Some thing interesting about in-the-wild
in-the-wild,Animals object detection such as deer, horse, and rabbit in diverse settings using YOLOv5
User: anasserhussien
in-the-wild,Repo for AttentDifferNet website
User: andreluizbvs
Home Page: https://andreluizbvs.github.io/AttentDifferNet/
in-the-wild,CVPR 2022 - derender3d: A method for de-rendering a 3D object from a single image into shape, material, and lighting, that is trained in a weakly-supervised fashion relying only on rough shape estimates.
User: brummi
in-the-wild,Mobile Android app for data collection in the wild: sensor measurements and self-reported labels describing the user's behavioral context.
Organization: cal-ucsd
Home Page: http://extrasensory.ucsd.edu/ExtraSensoryApp
in-the-wild,University Thesis project
User: caxelos
Home Page: https://194-177-202-67.uth.gr/xmlui/bitstream/handle/11615/52046/20167.pdf?sequence=1
in-the-wild,[CVPR'24] NeRF On-the-go: Exploiting Uncertainty for Distractor-free NeRFs in the Wild
Organization: cvg
Home Page: https://rwn17.github.io/nerf-on-the-go/
in-the-wild,[IEEE FG2021] PyTorch code for paper titled "Leveraging Semantic Scene Characteristics and Multi-Stream Convolutional Architectures in a Contextual Approach for Video-Based Visual Emotion Recognition in the Wild".
User: giannispikoulis
in-the-wild,Daily archiver & triage issue creator for new releases of CISA's Known Exploited Vulnerabilities list
User: hrbrmstr
Home Page: https://hrbrmstr.github.io/cisa-known-exploited-vulns/
in-the-wild,[official] Norm-in-Norm Loss with Faster Convergence and Better Performance for Image Quality Assessment (ACM MM 2020)
User: lidq92
Home Page: https://lidq92.github.io/LinearityIQA/
in-the-wild,[official] Quality Assessment of In-the-Wild Videos (ACM MM 2019)
User: lidq92
Home Page: https://lidq92.github.io/VSFA/
in-the-wild,WildQA website code
Organization: michigannlp
Home Page: https://lit.eecs.umich.edu/wildqa
in-the-wild,Developing code on semantic segmentation for Extended Labeled Faces in the Wild
Organization: multimedia-eurecat
in-the-wild,Resources for the paper titled "Evaluating Latent Space Robustness and Uncertainty of EEG-ML Models under Realistic Distribution Shifts". Accepted at NeurIPS 2022.
User: neerajwagh
in-the-wild,Project Page (ObjectDR)
User: objectdr
Home Page: https://ObjectDR.github.io
in-the-wild,[CVPR 2024 - Oral, Best Paper Award Candidate] Marigold: Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation
Organization: prs-eth
Home Page: https://marigoldmonodepth.github.io
in-the-wild,Official repo for "Audio-Visual Speech Recognition In-the-Wild: Multi-Angle Vehicle Cabin Corpus and Attention-based Method" in ICASSP 2024
Organization: smil-spcras
Home Page: https://smil-spcras.github.io/DAVIS/
in-the-wild,Blind Quality Assessment for in-the-Wild Images via Hierarchical Feature Fusion and Iterative Mixed Database Training
User: sunwei925
in-the-wild,Classification Model for Detecting Aggressive Speech in the Wild
User: thesameerahmed
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