PiLab-CAU ComputerVision-2401 issues

PiLab-CAU / ComputerVision-2401

Computer Vision Course 2024-01

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[Lecture11][0620] About Dropout for the inference stage

#69 Kwonminjeong0 opened 1 week ago
1
[lecture12-2] [0619] Question about Non-Maximal Suppression Example.

#68 imsongpasimin opened 1 week ago
1
[Lecture9][0619] Quick questions about convolution, etc.

#67 jleem99 opened 1 week ago
1
[Lecture13][0619] About the role of reg layer in RPN

#66 choigiheon opened 1 week ago
1
[lecture12-2] [0619] Negative prediction in Object Detection prediction.

#65 cjchangjun opened 1 week ago
2
[lecture9-2] [0619] Inquiry on Parameter Reduction in CNNs

#64 zxcv3296 opened 1 week ago
1
[lecture12-2] [0619] IOU threshold for TP.

#63 cjchangjun opened 1 week ago
2
[lecture10[0619] Batch Normalization

#62 jwemilee opened 1 week ago
1
Lecture11 Balancing image combination ratios for enhanced performance

#61 junehyeok129 opened 1 week ago
2
Lecture12 R-CNN Extract region proposals

#60 junehyeok129 opened 1 week ago
1
[lecture9][0619] Question of depthwise convolution hyperparameters in Mobilenet-v1.

#59 imsongpasimin opened 1 week ago
1
Lecture12 ResNet 1x1 convolution

#58 junehyeok129 opened 1 week ago
1
[Lecture9][0618] How to reduce Bias

#57 sumin819 opened 1 week ago
1
[Lecture 9] Calculating Output feature size

#56 junehyeok129 opened 1 week ago
2
[Lecture13][0618] Why use DSSD?

#55 Kwonminjeong0 opened 1 week ago
1
[Lecture13][0617] About feature upscaling

#54 jwemilee opened 1 week ago
1
[Lecture10][0617] Benefit for weight decay in AdamW

#53 kimjyan20221186 opened 1 week ago
2
[Lecture12][0617] NMS: What if objects are overlapped?

#52 StevenHSKim opened 1 week ago
1
[Lecture12][0617] About Deep Residual Network Architecture

#51 jwemilee opened 1 week ago
1
[Lecture9][0616] Degree to reduce the parameters of depthwise/pointwise convolution

#50 kimjyan20221186 opened 1 week ago
4
[Lecture10][0616] About nesterov

#49 Kwonminjeong0 opened 1 week ago
1
[lecture12][0614] Inquiry Regarding "Black Dog at Center" Classified as False Negative

#48 zxcv3296 opened 1 week ago
1
[lecture9][0614] About the type of convolution

#47 423data opened 2 weeks ago
1
[Lecture9][0614] Demension of fully connected layer

#46 423data opened 2 weeks ago
2
[Lecture11][0614] Small typo in slide & questions about dimension order in Pytorch

#45 yewonkim01 opened 2 weeks ago
3
[lecture12-2][0612] Small typo in the lecture slide

#44 goals4292 opened 2 weeks ago
1
[Lecture 10-2][0612] Meaning of "Weight decay removes the effect of old parameters"

#43 yewonkim01 opened 2 weeks ago
2
[lecture13][0612] Inquiry on the Specific Limitations of YOLO-v1 Model

#42 zxcv3296 opened 2 weeks ago
1
[Lecture10][0611] Small error in lecture slide

#41 HJH0303 opened 2 weeks ago
1
[lecture11][0610] About CutMix or Cutout

#40 HJH0303 opened 2 weeks ago
4
[lecture10][0610] questions about hidden layer notation

#39 yewonkim01 opened 2 weeks ago
1
[lecture13][0608] Faster R-CNN: TradeOff between number of anchor boxes and FPS

#38 jeonghyunpark2002 opened 3 weeks ago
3
[lecture12][0607] Inverted Bottleneck

#37 sumin819 opened 3 weeks ago
2
[lecture12][0607] About skipping skip-connection in MobileNet v2 (stride =2)

#36 koallako opened 3 weeks ago
2
[lecture11][0606] Inquiry About the Role of Auxiliary Fully Connected Layers in GoogleNet

#35 zxcv3296 opened 3 weeks ago
1
[lecture10][0605] 3x3 kernels in AlexNet

#34 koallako opened 3 weeks ago
4
[lecture9][0603] Convolutional network parameters

#33 sumin819 opened 3 weeks ago
1
[lecture12][0523] About getting the weight parameter of Bounding Box Regression

#32 jeonghyunpark2002 opened 1 month ago
2
[lecture12][0521] Curious about residual network and inverted residual network

#31 koallako opened 1 month ago
2
[lecture12][0521] About ReLU6, ShuffleNet, and More

#30 Burugi opened 1 month ago
1
[lecture9][0521] KNN, an equal number of samples for each class label

#29 jeonghyunpark2002 opened 1 month ago
2
[Lecture 12][0521] Comparison of the ResNet's and MobileNet v2's block design in PyTorch implementation

#28 jleem99 opened 1 month ago
1
[Lecture11][0517] Is residual block itself leads to an increase in computation?

#27 StevenHSKim opened 1 month ago
3
[Lecture10][0509] Any personal tips for finding where the high loss came from?

#26 choigiheon opened 1 month ago
2
[Lecture10][0507] Small error in the lecture slide

#25 goals4292 opened 1 month ago
1
[lecture9][0502] Why can a group convolution get a 1/G computation reduction (including misleading statements)?

#24 Burugi opened 1 month ago
2
[lecture9][0502] Convolutional Layers + Activation

#23 koallako opened 1 month ago
1
[Lecture4][0424] Question about the representation in ppt for the SIFT scale

#22 StevenHSKim opened 2 months ago
1
[Lecture3][0421] Regarding dangling operation of Filtering, Convolution, Correlation

#21 yjyoo3312 opened 2 months ago
0
[Lecture05][0420] Ransac and homography

#20 nshuhsn opened 2 months ago
1