Bit Depth
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E
Color depth explained Ref…
Bounding Box Annotation Format
Color Channels
Frame Rate
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E
Ground Truth Mask
Image Annotation
Image as Tensor
Image Format
Image Resolution
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E
Pixel
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E
Region of Interest (ROI)
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E
-
A
Fast R-CNN (RoI Pooling) Pap…
Sliding Window
Spatial Coordinates
Video Frame
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E
Center Crop
-
P
torchvision CenterCrop Docs
Horizontal Flip
Image Resize
-
P
Random Crop
-
P
Random Rotation
-
P
Vertical Flip
Channel Order (BGR vs RGB)
Color Space (RGB, HSV)
Grayscale Conversion
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E
Histogram Equalization
Image Normalization
Mean Subtraction
Pixel Scaling
AutoAugment
Color Jitter
-
P
Cutout
Gaussian Blur (Augmentation)
-
P
RandAugment
Canny Edge Detection
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E
-
D
OpenCV — Canny Edge Detection Docs
Image Gradient
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E
Laplacian of Gaussian (LoG)
Prewitt Operator
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E
Sobel Operator
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E
BRIEF Descriptor
Corner Detection (Harris)
FAST Corner Detector
Haar cascades
Oriented FAST and Rotated BRIEF (ORB)
Scale-Invariant Feature Transform (SIFT)
Speeded-Up Robust Features (SURF)
Viola-Jones Detector
Keypoint Matching
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D
Lucas-Kanade Method
Optical Flow
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E
-
D
Template Matching
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E
-
D
Bag of Visual Words
Hough Transform
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E
-
D
Image Pyramid
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E
Scale-Space
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E
GoogLeNet (Inception)
Inception Module
Inception-v3
Xception
DenseNet
Residual Block
ResNet
ConvNeXt
EfficientNet
MobileNet
MobileNetV2
ShuffleNet
SqueezeNet
Face Detection
Face Recognition
Facial Landmark Detection
Fine-grained Recognition
Image Classification
Image Retrieval
Keypoint Detection
Multi-Label Image Classification
Optical Character Recognition (OCR)
Person Re-identification
Pose Estimation
Scene Classification
Anchor Box
Average Precision (AP)
Bounding Box
Feature Pyramid Network (FPN)
Intersection over Union (IoU)
Mean Average Precision (mAP)
Non-Maximum Suppression (NMS)
Region Proposal
Deformable DETR
DETR (Detection Transformer)
RetinaNet
SSD (Single Shot Detector)
YOLO (You Only Look Once)
YOLOv3
YOLOv5
YOLOv7
YOLOv8
Instance Segmentation
Panoptic Segmentation
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A
Pixel-wise Classification
Semantic Segmentation
Atrous Spatial Pyramid Pooling (ASPP)
DeepLab
Fully Convolutional Network (FCN)
Mask R-CNN
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A
Pyramid Pooling Module
Segment Anything Model (SAM)
SegNet
Dice Loss
IoU Loss
Mean Intersection over Union (mIoU)
Pixel Accuracy
Backbone
Backbone Fine-tuning
Detection Head
Discriminative Learning Rates
Domain Adaptation
Frozen Feature Extraction
ImageNet Pretraining
Knowledge Distillation
Layer Freezing
Pretrained Model
Progressive Unfreezing
Class Token Pooling
CLS Token
Image Patches
Patch Embedding
Vision Transformer (ViT)
BEiT
DeiT (Data-efficient Image Transformer)
Hybrid CNN-Transformer
Shifted Windows
Swin Transformer
ALIGN
BYOL
CLIP
DINO (Self-Supervised)
DINOv2
Masked Autoencoder (MAE)
MoCo
OpenCLIP
Action Recognition
Frame Sampling
I3D (Inflated 3D ConvNet)
Multi-Object Tracking (MOT)
SlowFast Networks
Temporal Convolution
Temporal Pooling
Two-Stream Network
Video Classification
Video Object Segmentation
3D Mesh
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E
-
O
Open3D mesh tutorial Docs
3D Reconstruction
Depth Estimation
Disparity Map
Neural Radiance Fields (NeRF)
Point Cloud
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E
PointNet
Stereo Vision
Structure-from-Motion (SfM)
Visual Odometry
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E
Voxel Grid
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