[1]-----------------------------------------------------[25]
[26] Generative-Adversarial-Networks-based Ghost Recognition
基于生成-專家網絡的幽靈識别
連結 | https://arxiv.org/abs/2103.13858
[27] Hierarchical Deep CNN Feature Set-Based Representation Learning for Robust Cross-Resolution Face Recognition
基于分層深度CNN特征集的表示學習，用于魯棒的交叉分辨率人臉識别
連結 | https://arxiv.org/abs/2103.13851
[28] Universal Representation Learning from Multiple Domains for Few-shot Classification
從多個領域進行通用表示學習以進行少量分類
連結 | https://arxiv.org/abs/2103.13841
[29] Multi-frame Super-resolution from Noisy Data
噪聲資料的多幀超分辨率
連結 | https://arxiv.org/abs/2103.13778
[30] Patch Craft: Video Denoising by Deep Modeling and Patch Matching
更新檔程式：通過深度模組化和更新檔比對進行視訊降噪
連結 | https://arxiv.org/abs/2103.13767
[31] I^3Net: Implicit Instance-Invariant Network for Adapting One-Stage Object Detectors
I ^ 3Net：用于适應一階段對象檢測器的隐式執行個體不變網絡
連結 | https://arxiv.org/abs/2103.13757
[32] Video Instance Segmentation with a Propose-Reduce Paradigm
使用Propose-Reduce範式進行視訊執行個體分割
連結 | https://arxiv.org/abs/2103.13746
[33] KiloNeRF: Speeding up Neural Radiance Fields with Thousands of Tiny MLPs
KiloNeRF：使用成千上萬的微型MLP加速神經輻射場
連結 | https://arxiv.org/abs/2103.13744
[34] Spirit Distillation: Precise Real-time Prediction with Insufficient Data
酒精蒸餾：資料不足時的精确實時預測
連結 | https://arxiv.org/abs/2103.13733
[35] GyroFlow: Gyroscope-Guided Unsupervised Optical Flow Learning
GyroFlow：陀螺儀引導的無監督光流學習
連結 | https://arxiv.org/abs/2103.13725
[36] AttrLostGAN: Attribute Controlled Image Synthesis from Reconfigurable Layout and Style
AttrLostGAN：通過可重新配置的布局和樣式進行屬性控制的圖像合成
連結 | https://arxiv.org/abs/2103.13722
[37] Vectorization and Rasterization: Self-Supervised Learning for Sketch and Handwriting
矢量化和光栅化：素描和手寫的自我指導學習
連結 | https://arxiv.org/abs/2103.13716
[39] SSLayout360: Semi-Supervised Indoor Layout Estimation from 360∘ Panorama
SSLayout360：360°全景圖的半監督室内布局估計
連結 | https://arxiv.org/abs/2103.13696
[40] MBA-VO: Motion Blur Aware Visual Odometry
MBA-VO：運動模糊感覺視覺裡程表
連結 | https://arxiv.org/abs/2103.13684
[41] JDSR-GAN: Constructing A Joint and Collaborative Learning Network for Masked Face Super-Resolution
JDSR-GAN：建構聯合協作學習網絡以實作蒙面超分辨率
連結 | https://arxiv.org/abs/2103.13676
[42] Contrast to Divide: Self-Supervised Pre-Training for Learning with Noisy Labels
差異對比：帶有噪聲标簽的自學式預教育訓練
連結 | https://arxiv.org/abs/2103.13646
[43] Asymmetric CNN for image super-resolution
非對稱CNN用于圖像超分辨率
連結 | https://arxiv.org/abs/2103.13634
[44] A Survey of Quantization Methods for Efficient Neural Network Inference
高效神經網絡推理的量化方法研究
連結 | https://arxiv.org/abs/2103.13630
[45] Learning Probabilistic Ordinal Embeddings for Uncertainty-Aware Regression
學習機率序數嵌入以進行不确定性感覺回歸
連結 | https://arxiv.org/abs/2103.13629
[46] Gaussian Guided IoU: A Better Metric for Balanced Learning on Object Detection
高斯制導IoU：一種更好的衡量目标檢測平衡的名額
連結 | https://arxiv.org/abs/2103.13613
[47] THAT: Two Head Adversarial Training for Improving Robustness at Scale
那：兩次頭對抗訓練，以提高規模的魯棒性
連結 | https://arxiv.org/abs/2103.13612
[48] Exploiting Class Similarity for Machine Learning with Confidence Labels and Projective Loss Functions
利用置信标簽和投影損失函數開發機器學習的類相似性
連結 | https://arxiv.org/abs/2103.13607
[49] Learning Dynamic Alignment via Meta-filter for Few-shot Learning
通過元過濾器學習動态對齊，以進行少量學習
連結 | https://arxiv.org/abs/2103.13582
[50] STA-VPR: Spatio-temporal Alignment for Visual Place Recognition
STA-VPR：用于視覺位置識别的時空對齊
連結 | https://arxiv.org/abs/2103.13580
[51] Test-Time Training for Deformable Multi-Scale Image Registration
變形多尺度圖像配準的即時教育訓練
連結 | https://arxiv.org/abs/2103.13578
[52] MetaAlign: Coordinating Domain Alignment and Classification for Unsupervised Domain Adaptation
MetaAlign：無監督域自适應的協調域對齊和分類
連結 | https://arxiv.org/abs/2103.13575
[53] Deepfake Forensics via An Adversarial Game
通過對抗遊戲進行的Deepfake驗證
連結 | https://arxiv.org/abs/2103.13567
[54] On Evolving Attention Towards Domain Adaptation
關于領域适應的發展注意力
連結 | https://arxiv.org/abs/2103.13561
[55] Rethinking Self-Supervised Learning: Small is Beautiful
重新思考自我監督學習：小就是美
連結 | https://arxiv.org/abs/2103.13559