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cycle-confusionCode and models for ICCV2021 paper "Robust Object Detection via Instance-Level Temporal Cycle Confusion".
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gnerf[ ICCV 2021 Oral ] Our method can estimate camera poses and neural radiance fields jointly when the cameras are initialized at random poses in complex scenarios (outside-in scenes, even with less texture or intense noise )
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OverlapPredator[CVPR 2021, Oral] PREDATOR: Registration of 3D Point Clouds with Low Overlap.
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ilvr admILVR: Conditioning Method for Denoising Diffusion Probabilistic Models (ICCV 2021 Oral)
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renet[ICCV'21] Official PyTorch implementation of Relational Embedding for Few-Shot Classification
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DynamicViT[NeurIPS 2021] DynamicViT: Efficient Vision Transformers with Dynamic Token Sparsification
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huggingpics🤗🖼️ HuggingPics: Fine-tune Vision Transformers for anything using images found on the web.
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ShapeFormerOfficial repository for the ShapeFormer Project
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PCLocPose Correction for Highly Accurate Visual Localization in Large-scale Indoor Spaces (ICCV 2021)
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esvitEsViT: Efficient self-supervised Vision Transformers
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SynergyNet3DV 2021: Synergy between 3DMM and 3D Landmarks for Accurate 3D Facial Geometry
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DeepCADcode for our ICCV 2021 paper "DeepCAD: A Deep Generative Network for Computer-Aided Design Models"
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STTranSpatial-Temporal Transformer for Dynamic Scene Graph Generation, ICCV2021
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mix3dMix3D: Out-of-Context Data Augmentation for 3D Scenes (3DV 2021 Oral)
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TRAR-VQA[ICCV 2021] TRAR: Routing the Attention Spans in Transformers for Visual Question Answering -- Official Implementation
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C5Reference code for the paper "Cross-Camera Convolutional Color Constancy" (ICCV 2021)
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flow1d[ICCV 2021 Oral] High-Resolution Optical Flow from 1D Attention and Correlation
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InstanceRefer[ICCV 2021] InstanceRefer: Cooperative Holistic Understanding for Visual Grounding on Point Clouds through Instance Multi-level Contextual Referring
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LLVIPLLVIP: A Visible-infrared Paired Dataset for Low-light Vision
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G-SFDAcode for our ICCV 2021 paper 'Generalized Source-free Domain Adaptation'
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NerfingMVS[ICCV 2021 Oral] NerfingMVS: Guided Optimization of Neural Radiance Fields for Indoor Multi-view Stereo
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Meta-SelfLearningMeta Self-learning for Multi-Source Domain Adaptation: A Benchmark
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