List: Object Detection/Segmentation | Curated by Brian Mullen

Sep 22, 2024
32 stories
Object Detection/Segmentation
Nandini Lokesh Reddy
RT-DETR: The Next Evolution in Real-Time Object DetectionReal-time object detection is a vital field with a wide array of applications, from object tracking to autonomous driving. Imagine a…
Jul 19, 2024
1
Jul 19, 2024
1
In
TDS Archive
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Cristian Leo
The Math Behind Multi-Head Attention in TransformersDeep Dive into Multi-Head Attention, the secret element in Transformers and LLMs. Let’s explore its math, and build it from scratch.
Jul 16, 2024
3
Jul 16, 2024
3
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TDS Archive
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Daniel Warfield
YOLO — By HandA breakdown of the math within YOLO
Jun 7, 2024
2
Jun 7, 2024
2
In
TDS Archive
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Ethan Yanjia Li
Dive Really Deep into YOLO v3: A Beginner’s GuideA detailed review and hands-on implementation of YOLO v3 in TensorFlow 2 for beginners.
Dec 30, 2019
20
Dec 30, 2019
20
Sanna Persson
YOLOv3 — Implementation with Training setup from ScratchFor such a popular paper there are still few implementations explained of the YOLOv3 architecture completely from scratch. I’ll do my best…
Mar 21, 2021
4
Mar 21, 2021
4
Kaushik Koneripalli
Satellite Image Data Augmentation using Stable Diffusion for Object detection & segmentation.Introduction:
Sep 2, 2023
1
Sep 2, 2023
1
Sik-Ho Tsang
Brief Review — TPH-YOLOv5: Improved YOLOv5 Based on Transformer Prediction Head for Object…TPH-YOLOv5, Detects Small & Dense Objects in Drone Images
Jun 18, 2023
Jun 18, 2023
Lakera
How robust are pre-trained object detection ML models like YOLO or DETR?We tested the robustness of state-of-the-art computer vision models to assess their generalization ability. Here is what we found.
Nov 2, 2022
2
Nov 2, 2022
2
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TDS Archive
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Mostafa Ibrahim
WBF: Optimizing object detection — Fusing & Filtering predicted boxesWeighted boxes fusion has become the new SOTA to optimize object detection models
Mar 17, 2021
1
Mar 17, 2021
1
Hugegene
A Single Camera 3D FunctionsIntrinsic Matrix, Extrinsic Matrix, Homography, Inverse Perspective Mapping
Dec 5, 2021
Dec 5, 2021
Amal
Improve your Object Detection and Instance Segmentation Results for Detection of Small ObjectsOne of the important tasks of computer vision is to identify objects in real-time, what if we have large image of large size and the…
Feb 17, 2022
2
Feb 17, 2022
2
Vaibhav Bagri
Looking at Research Work in Real Time Object DetectionObject detection refers to the ability of computers to accurately detect the presence of particular objects in an image and accurately draw…
Mar 31, 2022
Mar 31, 2022
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TDS Archive
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Johannes Rieke
Object detection with neural networksA simple tutorial using keras
Jun 12, 2017
25
Jun 12, 2017
25
Chris Ha
Why this one (literally) small model spells big things for Vision Transformers.MobileVit
Oct 12, 2021
1
Oct 12, 2021
1
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TDS Archive
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Miguel Pinto
Learn AI Today 05: Image segmentation with U-Net modelsA simple introduction to image segmentation for practical Deep Learning
Jan 15, 2021
1
Jan 15, 2021
1
Pallawi
Semantic segmentation with U-Net- train, and test on your custom data in KerasWhat is semantic segmentation?
Jun 3, 2019
18
Jun 3, 2019
18
In
Coinmonks
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Sukriti Paul
Learn How to Train U-Net On Your DatasetWith the aim of performing semantic segmentation on a small bio-medical data-set, I made a resolute attempt at demystifying the workings of…
Jun 8, 2018
38
Jun 8, 2018
38
In
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Konstantin Kutzkov
Bilinear pooling for fine-grained visual recognition and multi-modal deep learningAdvanced neural network architectures work by learning feature interactions
Oct 7, 2021
Oct 7, 2021
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Cameron R. Wolfe, Ph.D.
Deep Learning on Video (Part Two): The Rise of Two-Stream ArchitecturesHow two-stream network architectures revolutionized deep learning on video.
Jan 28, 2022
Jan 28, 2022
In
TDS Archive
by
Allohvk
Swin/Vision Transformers — Hacking the human eyeOne ML architecture to rule them all? Perhaps not…
Jan 17, 2022
5
Jan 17, 2022
5