Vision Transformers for Dense Prediction

Ranftl, Rene, Bochkovskiy, Alexey, Koltun, Vladlen·2021·2021 IEEE/CVF International Conference on Computer Vision (ICCV)
DOI 10.1109/iccv48922.2021.01196

Cited by (2,246)

Items 701–800 of 2,246

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  2. Seg2Depth: Semi-Supervised Depth Estimation for Autonomous Vehicles Using Semantic Segmentation and Single Vanishing Point Fusion
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  3. Bokeh-Loss GAN: Multi-stage Adversarial Training for Realistic Edge-Aware Bokeh
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  5. Classification robustness to common optical aberrations
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  9. Continual Learning of Unsupervised Monocular Depth from Videos
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  12. Monitoring Social Distancing With Single Image Depth Estimation
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  14. SAR–Optical Image Matching With Semantic Position Probability Distribution
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  15. Downstream Task-Inspired Underwater Image Enhancement: A Perception-Aware Study From Dataset Construction to Network Design
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  16. Transformers Pay Attention to Convolutions Leveraging Emerging Properties of ViTs by Dual Attention-Image Network
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  19. PODIA-3D: Domain Adaptation of 3D Generative Model Across Large Domain Gap Using Pose-Preserved Text-to-Image Diffusion
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  20. Chfnet: a coarse-to-fine hierarchical refinement model for monocular depth estimation
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  21. CaBins: CLIP-based Adaptive Bins for Monocular Depth Estimation
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  23. Depth Estimation From a Single Optical Encoded Image Using a Learned Colored-Coded Aperture
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  24. Efficient RGB-D Co-Salient Object Detection via Modality-Aware Prompting
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  25. TFRNet: Semantic Segmentation Network with Token Filtration and Refinement Method
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  26. Leveraging Neural Radiance Fields for Large-Scale 3D Reconstruction from Aerial Imagery
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  27. CASwin Transformer: A Hierarchical Cross Attention Transformer for Depth Completion
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  30. Multi-Modal Transformer for RGB-D Salient Object Detection
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  34. GigaDepth: Learning Depth from Structured Light with Branching Neural Networks
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  63. AGDF-Net: Learning Domain Generalizable Depth Features With Adaptive Guidance Fusion
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  67. Single-Stage 3D Geometry-Preserving Depth Estimation Model Training on Dataset Mixtures with Uncalibrated Stereo Data
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  68. FS-Depth: Focal-and-Scale Depth Estimation From a Single Image in Unseen Indoor Scene
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  69. Monocular Human Depth Estimation Via Pose Estimation
    Jinyoung Jun, Jae-Han Lee, Chul Lee, Chang‐Su Kim · 2021 · IEEE Access
  70. Flash-Splat: 3D Reflection Removal with Flash Cues and Gaussian Splats
    Mingyang Xie, Haoming Cai, Sachin Shah, Yiran Xu, Brandon Y. Feng, Jiabin Huang, Christopher A. Metzler · 2024 · Lecture notes in computer science
  71. Monocular Visual SLAM With Adjusting Neural Radiance Fields for 3-D Reconstruction in Planetary Environments
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  72. Self-supervised AutoFlow
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  87. Enhanced Scale-Aware Depth Estimation for Monocular Endoscopic Scenes with Geometric Modeling
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