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## 一言でいうと
物体検知/セグメンテーションにTransformer (#329 を適用した研究。ResNetで特徴抽出しTransformerに入れるシンプルな構成だが、End2Endで予測するため(=重複領域除去処理(NMS)フリーにするため)固定数の検出予測と実際をマッチングさせるlossを導入している。
![image](https://user-images.github…
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## 一言でいうと
物体検出を予測領域と実領域(ラベル)との組み合わせ問題として解く研究。CNNで得た特徴と空間位置を表すpositional encoding(PE)をTransformer(Encoder)に入力し、出力をTransformer(Decoder)に渡し物体検出用PEでクエリする。Decoderはクラス確率と物体(中央)位置を出力。ラベルとの適合から学習する
![im…
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I am using a Hero 11 with the latest Labs firmware. Motion detection stops functioning after varying amounts of time from around 2 hours to 11 hours, with the qrlog always giving a HEARTBEAT_TIMEOUT …
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import numpy as np
import supervision as sv
from ultralytics import YOLO
import cv2
from datetime import datetime
#import cupy as cp
model = YOLO("yolov8x.pt")
#batch_size = 2
tracker = sv…
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`Grounding Dino + Sam2` is a popular way to segment object with text, but the detection module `Grounding Dino` may miss some object. So I think if I can add a text embedding model, such as T5, Sam2 m…
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# End-to-End Spatial Transform Face Detection and Recognition #
- Author: Liying Chi, Hongxin Zhang, Mingxiu Chen
- Origin: https://arxiv.org/abs/1703.10818v1
- Related:
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### Links
- Paper : https://arxiv.org/abs/2005.12872
- Github : https://github.com/facebookresearch/detr
### 한 줄 요약
- end to end Obejct Detection with Transformer
- 기존의 Object Detection 파이프라인의 …
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# Reference
- 10/2020 [Deformable DETR: Deformable Transformers for End-to-End Object Detection](https://arxiv.org/abs/2010.04159)
- [Code](https://github.com/fundamentalvision/Deformable-DETR)
#…
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```tex
\begin{filecontents}[noheader, force]{test.csv}
% comment
year,count
2000,123
2010,444
2020,341
\end{filecontents}
\documentclass{article}
\usepackage{csvsimple-l3}
\begin{documen…
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could you publish your detection metric? mAP, AP per class?
As a end-to-end method, i very want to know the detection performance.
Also, the minADE relay on the matched detection and GT. Without …