• AABO (Adaptive Anchor Box Optimization)
• ACNe (Attention Convolutional Network)
• ACoL: Adversarial Complementary Learning
• ADL
• AdvPC
• AmoebaNet
• Arch-Net
• ArtGAN
• AssembleNet++
• Attention-Unet
• AutoDeeplab
• Auto-Exposure Fusion
• BAM
• Barbershop
• BEVFormer
• Block-NeRF
• ByteTrack
• CAM
• Cascade 3D-Unet
• Cascade Cost Volume
• Cascade RCNN
• CBAM
• CBNETv2
• CenterNet
• CentripetalNet
• C-Flow (Conditional Flow)
• CLIP-GEN
• Closed-Loop Matters
• COLA
• Colossal-AI
• CutMix
• CRF-RNN
• DARKGAN
• DeepLabv1
• DeepLabv2
• Deeplabv3+
• DeconvNet
• Deep Hough Transform
• DeepSim (Image Quality Assessment)
• Deep Snake (Instance Segmentation)
• DeepGCNs
• Deep Spectral Methods for Unsupervised Semantic Segmentation
• Deceive D: Adaptive Pseudo Augmentation
• DETR
• DilatedNet
• DDU-Net
• DIS (Deep Image Segmentation)
• DiNTS (Differentiable Neural Topology Search)
• Does Thermal data make the detection systems more reliable?
• DPN
• DRN
• DropBlock
• DSSD (Deconvolutional Single Shot Detector)
• Dynamic RCNN
• Eagle Eye
• EditGAN
• EfficientDet
• EfficientNetv2
• Efficient Person Search
• Elastic Graph Neural Network
• ELSA
• ENet
• ENAS
• Ensemble Inversion
• ERFNet
• ESPNetv2
• Exemplar Transformers
• FCN
• FBNet
• FedDG
• Few-Shot Learner (FSL)
• Fast Localized Spectral Filtering (Graph Kernel)
• FPN (Feature Pyramid Network)
• FractalNet
• GANgealing
• GauGAN2
• GeoFill
• Generative Flow Networks (GFlowNets)
• GHN-2 (Graph HyperNetworks)
• GLIDE
• GLIP
• Group Normalization
• GroupViT
• Graph Attention Networks
• Graph Convolution Network
• GraphSAGE
• HideandSeek
• HistoGAN
• HOTR (Human-Object Interaction Transformer)
• HuMMan
• HyperionSolarNet
• IDW-CNN
• IF-Nets (Implicit Function Networks)
• ImageNet Rethinking
• Image-specific Convolutional Kernel Modulation for Single Image Super-resolution
• Image-Generation Research With Manifold Matching Via Metric Learning
• Instant-teaching
• Involution
• IVY
• JoJoGAN
• Kaleido-BERT
• Keep Eyes on the Lane (KEOTL)
• KeypointNeRF
• The KFIoU Loss for Rotated Object Detection
• Lawin Transformer
• LayerCascade
• Libra R-CNN
• Light-Head-RCNN
• LiteFlowNet3
• MADDNESS: Approximate Matrix Multiplication (AMM)
• Medical Transformer
• MedMNIST
• MegNet
• MetaFormer
• MetNet-2
• MorphNet
• MR-CNN & S-CNN
• MutualNet
• NOC
• NeatNet
• NetAdapt
• NeuralProphet
• Non-Local Sparse Attention
• OadTR
• OnePassImageNet
• Oriented R-CNN
• Panoptic 3D Scene Segmentation
• Panoptic Segmentation
• PARP: Improve the Efficiency of NN
• ParseNet
• PCACE: A Statistical Approach to Ranking Neurons for CNN Interpretability
• PerfectShape
• PF-NET(3D) (Probabilistic Flow Network)
• PHALP
• PENCIL: Deep Learning with Noisy Labels
• PixMix
• PNASNet
• PointAugment
• Polka Lines
• PoolFormer
• Pose2Mesh
• PQ-NET (Product Quantization Network)
• PPDM
• PP-ShiTu: A Practical Lightweight Image Recognition System
• Preactivation-Resnet
• PRIME
• ProjectedGAN
• PSConvolution
• PytorchVideo
• Pyramid Vision Transformer
• Q-ViT: Fully Differentiable Quantization for Vision Transformer
• RandLA-Net
• Rank and Sort Loss
• RefineNet
• Refinement Network for RGB-D
• RepMLNet
• RepVGG
• Residual Attention Network
• ResNet-DUC-HDC
• Resnet38
• ResNeXt
• RetinaNet
• ReXNet
• ROAM (Recurrent Online Adaptive Model)
• R-FCN
• SAVi
• SAOL
• SCAN (Semantic Clustering Analysis Network)
• SDN (Switchable Normalisation Network)
• SEAN
• SeMask
• Semantic Diffusion Guidance
• Semantic Image Matting
• SG-NN (Scene Graph Neural Network)
• ShuffleNetV2
• SimAug (Simulation Augmentation)
• SipMask
• SLIP: Self-supervision meets Language-Image Pre-training
• SlowFast
• SNE-RoadSeg
• Soft-IntroVAE (Soft Introspective Variational Autoencoder)
• Spektral (Graph Neural Network)
• SRCNN (Super-Resolution CNN)
• StairNet
• Stable Long Term Recurrent Video Super Resolution
• Story Visualization
• SOTR
• StyleGAN3
• StyleGAN-Human: A Data-Centric Odyssey of Human Generation
• StyleGAN-V
• StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets
• StyleMAPGAN
• StyleSwin
• Unsupervised deep learning identifies semantic disentanglement
• Swin Transformer
• Teachers do more than teach (TDMT)
• TDM
• TediGAN
• Temporal Fusion Transformer (TFT)
• Text to Artistic Image Generation
• Tide (Task-Informative Data Embedding)
• TokenLearner
• Total3DUnderStanding
• TrOCR
• TransMix
• U-Net
• Unet++
• Untrained Deep NN
• UFO² (Unified Feature Optimization)
• VGGNet For Covid19
• Vision Transformer (ViT)
• Vision Transformer with Deformable Attention
• Vip-DeepLab
• VMNet
• VLP: A Survey on Vision-Language Pre-training
• V-Net
• WeightNet
• WORD: Organ Segmentation Dataset
• Yolact++
• YOLO Series
• YOLOP
• YOLOv5